Peer Reviewed and Accepted Paper and Platform Presentations

2025
  1. Bergus KC, Bricker J, Asti L, Gorham TJ, Mansfield A, Srinivas S, Van Arendonk KJ, Thakkar RK, Schwartz DM, Mansfield SA. Social Deprivation Index and Pediatric Pedestrian-vs-Automobile Collisions in Ohio. Pediatrics. 2025 Mar 10:e2024067900. doi: 10.1542/peds.2024-067900. Epub ahead of print. PMID: 40058406.
  2. Jackson, D. I., Maa, T., Luna, J., Huang, Y., Fristad, M. A., & Sezgin, E. (2025). Challenges and opportunities in healthcare workplace violence training: A qualitative study of staff experiences. Journal of Workplace Behavioral Health, 1–14. https://doi.org/10.1080/15555240.2025.2474055
  3. Gorham, T.J., Hardy, R.Y., Ciccone, D. and Chisolm, D.J. (2025), Comparison of Machine Learning Algorithms Identifying Children at Increased Risk of Out-of-Home Placement: Development and Practical Considerations. Health Serv Res e14601. https://doi.org/10.1111/1475-6773.14601
  4. Gibbs KMP, Hammersmith KJ, Stephenson KG, Peng J, Casamassimo PS, Butter EM, Fenning RM, Steinberg-Epstein RB. Oral Health Fatalism and Oral Health Self-Efficacy in Caregivers of Children with Autism Spectrum Disorder: Using data from a longitudinal interventional study. Ped Dent. 2025. In press.

Platform Presentations:

  1. English language proficiency and telehealth utilization in pediatric primary care. February 2025. Silvio Fernandes. 
  2. Improving caregiver-reported infant racial demographics across a 10-unit regional neonatal network: the first step towards ensuring equitable outcomes. April 2025. Tyler Gorham.
  3. Looking Beyond Genetics: A Retrospective Study using the Environmental Justice Index as a Tool to Evaluate the Risk for Newborn Congenital Anomalies. April 2025. Tyler Gorham.
  4. Changes to Child Opportunity Index Before and After Pediatric Inpatient Unit and Hospital Closures. April 2025. Tyler Gorham.
2024
  1. Azadani EN, Evans J, Peng J, McTigue D, Townsend J. Risk of concomitant traumatic brain injuries in children with traumatic dental injuries in a pediatric emergency department: A case-control study. J Am Dent Assoc. September 2023.
  2. Sezgin E, Sirrianni J, Kranz K. Development and Evaluation of a Digital Scribe: Conversation Summarization Pipeline for Emergency Department Counseling Sessions towards Reducing Documentation Burden. medRxiv [Preprint]. December 2023.
  3. Davenport MA, Sirrianni JW and Chisolm DJ (2024) Machine learning data sources in pediatric sleep research: assessing racial/ethnic differences in electronic health record–based clinical notes prior to model training. Sleep 3:1271167. doi: 10.3389/frsle.2024.1271167
  4. Jain S, Armstrong M, Luna J, Thakkar RK, Fabia R, Groner JI, Noffsinger D, Ni A, Nelson E, Xiang H. Features of virtual reality impact effectiveness of VR pain alleviation therapeutics in pediatric burn patients: A randomized clinical trial. PLOS Digit Health. January 2024.
  5. Kumar A, Casamassimo P, Kovalchin J, Claman D, Peng J, McDaniel J, Hunt WG, Wong CA. The changing profile of infective endocarditis: A multi-year retrospective study for dentists. Int J Paediatr Dent. January 2024.
  6. Jackson, Daniel I. and Maa, Tensing and Luna, John and Huang, Yungui and Fristad, Mary A. and Sezgin, Emre, Challenges and Opportunities for Workplace Violence Training for Healthcare Workers: A Qualitative Study of Staff Experiences (February 12, 2024). Available at SSRN: https://ssrn.com/abstract=4723436 or http://dx.doi.org/10.2139/ssrn.4723436
  7. Sirrianni, Joseph, et al. "Continuation of Pediatric Care after Transfer to Adult Care Among Autistic Youth Overlap of Pediatric and Adult Care." Journal of Autism and Developmental Disorders (2024): 1-12.
  8. Brink FW, Lo CB, Rust SW, Puls HT, Stanley R, Galdo B, Lindberg DM. Pilot study using machine learning to improve estimation of physical abuse prevalence. Child Abuse Neglect. March 2024.
  9. Maa, T., Jackson, DI., Luna, J., et al. Preventing Workplace Violence in Healthcare: Gaps in Training Situational Awareness and De-escalation. Poster presentation at: 2024 Ohio Safety Congress and Expo. March 27-29, 2024.
  10. Schwartz L, Salamon K, Simoni A, Eichler T, Jackson AR, Murtha M, Becknell B, Kauffman A, Linn-Peirano S, Holdsworth N, Tyagi V, Tang H, Rust S, Cortado H, Zabbarova I, Kanai A, Spencer JD. Insulin receptor signaling engages bladder urothelial defenses that limit urinary tract infection. Cell Rep. April 2024.
  11. Kopczynski K, Casamassimo P, Amini H, Peng J, Gorham T, Meyer BD. Evaluating the type of pediatric dental care use in the context of neighborhood opportunity. J Am Dent Assoc. April 2024.
  12. Bussard N, Casamassimo P, Amini H, Peng J, Wapner A, Meyer BD. Age of first dental visits: A benefit of the pediatric medical home. J Public Health Dent. 2024. https://doi.org/10.1111/jphd.12619
  13. Warren S, Claman D, Meyer B, Peng J, Sezgin E. Acceptance of voice assistant technology in dental practice: A cross sectional study with dentists and validation using structural equation modeling. PLOS Digit Health. 2024 May 14;3(5):e0000510. doi: 10.1371/journal.pdig.0000510. PMID: 38743686; PMCID: PMC11093337.
  14. Peng J, Gorham TJ, Meyer BD. Predicting Dental General Anesthesia Use among Children with Behavioral Health Conditions. JDR Clin Trans Res. 2024 Jun 14:23800844241252817. doi: 10.1177/23800844241252817. Epub ahead of print. PMID: 38877718.
  15. Jones K, Armstrong M, Luna J, et al. Age and Sex Differences of Virtual Reality Pain Alleviation Therapeutic During Pediatric Burn Care: A Randomized Clinical Trial. Journal of Medical Extended Reality. 2024/03/01 2024;1(1):163-173. doi:10.1089/jmxr.2024.0004
  16. Ricci CA, Crysup B, Phillips NR, Ray WC, Santillan MK, Trask AJ, Woerner AE, Goulopoulou S. Machine Learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research. Am J Physiol Heart Circ Physiol. 2024 Jun 7. doi: 10.1152/ajpheart.00149.2024. Epub ahead of print. PMID: 38847756.
  17. Luca J, Tang H, Hammersmith KJ, Townsend J, Meyer BD. Estimated Carbon Emissions Associated With Dental Treatment For Early Childhood Caries. Pediatr Dent. 2024 Jul 15;46(4):248-252. PMID: 39123326.
  18. Azadani EN, Barras PC, Peng J, Townsend JA, Claman DB, McTigue DJ. Use of Clinical Photographs in the Management of Traumatic Dental Injuries. Pediatr Dent 2024;46(4):243-57.
  19. Wells JM, Gorham T, Kalady SE, Chisolm DJ. Social Determinants Pediatric Primary Care Telehealth and In-Office Visits During the SARS-CoV-2 Pandemic. Acad Pediatr. 2024 Aug 26:S1876-2859(24)00331-0. doi: 10.1016/j.acap.2024.08.012. Epub ahead of print. PMID: 39197576.
  20. Azadani EN, Yoshioka M, Peng J, Townsend J, Hammersmith K, Casamassimo P. Restorative and patient factors associated with repeat general anesthesia for dental treatments in young children: A case-control study. J Am Dent Assoc. 2024 Aug 3:S0002-8177(24)00389-1. doi: 10.1016/j.adaj.2024.06.014. Epub ahead of print. PMID: 39101860.
  21. Bennett BA, Hammersmith KJ, Peng J, Conte C, Casamassimo PS. COVID-19 Pandemic-Related Behavioral and Attitudinal Changes in Caregivers. J Dent Child (Chic). 2024 May 15;91(2):60-72. PMID: 39123336.
  22. Lowrey J, Xu J, McCoy R, Eneli I. Neighborhood Environment and Longitudinal Follow-Up of Glycosylated Hemoglobin for Youth with Overweight or Obesity. Child Obes. 2024 Oct 24. doi: 10.1089/chi.2023.0137. Epub ahead of print. PMID: 39446818.
  23. Sezgin E, Kocaballi AB, Dolce M, Skeens M, Militello L, Huang Y, Stevens J, Kemper AR Chatbot for Social Need Screening and Resource Sharing With Vulnerable Families: Iterative Design and Evaluation Study JMIR Hum Factors 2024;11:e57114 doi: 10.2196/57114
  24. Alexandra K. Medoro, Ravi Dhital, Pablo J. Sánchez, Kaitlyn Flint, Brianna Graber, Traci Pifer, Rachelle Crisan, William C. Ray, Christopher C. Phelps, Jonathan R. Honegger, Jing Peng, Ursula Findlen, Prashant Malhotra, Oliver Adunka, Masako Shimamura, "T cell responses and clinical symptoms among infants with congenital cytomegalovirus infection", JCI Insight, The American Society for Clinical Investigation, Sept 2024, V9(18), doi: 10.1172/jci.insight.171029
  25. Penfold RB, Idu AE, Coley RY, Cushing-Haugen KL, King D, Glass A, Phillips RC, Renz AD, Pabiniak CJ, Graham VF, Thompson EE, Ralston JD, Simon GE, Gonzalez ES, Myers KM, Beck A, Quintana LM, Runkle AJ, Rogers M, Foster DM, et al. Safer and targeted use of antipsychotics in youth: an embedded, pragmatic randomized trial. J Child Psychol Psychiatry. 2024. https://doi.org/10.1111/jcpp.14059 [doi]
  26. Riley A, Dolce M, Peng J, Casamassimo P, Amini H. The relationships between unmet social needs, oral health measures, and dental service utilization in a pediatric population. J Public Health Dent. 2024 Oct 5. doi: 10.1111/jphd.12646. Epub ahead of print. PMID: 39367807.

Platform Presentations:

  1. Accuracy and Variability of Physical Abuse Coding: A Multicenter Study. January 2024. Brendan Galdo
  2.  A Pilot Project Addressing Health Care Inequity Among Patients with Attention-Deficit Hyperactivity Disorder in Primary Care Network. May 2021. Jinyu Xu.
  3. Automated Detection of Bone Fractures – Development. April 2024. Sven Bambach.
  4. Prospective Performance and Clinical Burden Analysis of the Deterioration Risk Index. March 2024. Tyler Gorham.
  5. Measuring Telehealth Visit Length and Schedule Adherence Using Videoconferencing Data. May 2024. Xu Zhang.
  6. Using Deep Learning for Estimation of Time-Since-Injury in Accidental Fractures. April 2024. Sven Bambach.
  7. Predicting Appointment No-Shows in Pediatric Orthopedic Patients Using Machine Learning. September 2024. Jin Peng.
  8. Predicting Hospital Readmission Risk in Patients with Severe Bronchopulmonary Dysplasia. October 2024. Tyler Gorham.
  9. REALIZe disparities in regional infant mortality: a systematic, comprehensive assessment of recent trends. October 2024. Tyler Gorham.
2023

Peer Reviewed Papers: 

  1. DiPaolo M, Townsend J, Peng J, McTigue DJ, Azadani EN. "Characteristics, Treatment Outcomes and Direct Costs of Tooth Avulsion in Children Treated at a Major Hospital." Dental Traumatology. January 2023. 
  2. Tanner K, Xu J, O'Rourke S, Ganta R, Zhang X. "Pediatric outpatient occupational therapy: Transitioning from in-person services to Telehealth." OTJR: Occupation, Participation and Health. January 2023. 
  3. Rust LOH, Gorham TJ, Bambach S, Bode RS, Maa T, Hoffman JM, Rust SW. The Deterioration Risk Index: Developing and Piloting a Machine Learning Algorithm to Reduce Pediatric Inpatient Deterioration. Pediatr Crit Care Med. February 2023.  
  4. Sezgin E, Hussain SA, Rust S, Huang Y. "Extracting Medical Information from Free-text and Unstructured Patient-Generated Health Data using Natural Language Processing Methods: A Feasibility Study with Real-world Data." JMIR Form Res. February 2023. 
  5. Failing GRL, Klamer BG, Gorham TJ, Groner JI. "The impact of the COVID-19 pandemic on pediatric bicycle injury." International Journal of Environmental Research and Public Health. March 2023. 
  6. Sezgin E, Hussain SA, Rust S, Huang Y. Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data. JMIR Form Res. March 2023.
  7. Nguyen, V T, Townsend, J, Peng, J., Casamassimo, P. "Ohio School Nurses’ Perceptions on School Absences for Dental Care". Journal of Dentistry for Children. April 2023.
  8. Hart L, Sirrianni J, Rust S, Hanks C. Predicting Timely Transfer to Adult Care in a Cohort of Autistic Adolescents and Young Adults. PLOS ONE. April 2023.
  9. Casamassimo P, Peng J, Hammersmith K, Davis M, Stephenson K. “The Associations Between Oral Health Fatalism and Demographic Factors, Dental Practices, Fatalism, and Oral Health Self-Efficacy". Pediatric Dentistry. June 2023
  10. Gorham TJ, Tumin D, Groner J, Allen E, Retzke J, Hersey S, Liu SB, Macias C, Alachraf K, Smith AW, Blount T, Wall B, Crickmore K, Wooten WI, Jamison SD, Rust S. Predicting emergency department visits among children with asthma in two academic medical systems. J Asthma. June 2023.
  11. Fredin B, Letson M, Rust S, Crichton K. “Physical abuse re-reporting during the COVID-19 pandemic: The kids are not okay”. Child Abuse & Neglect. August 2023.
  12. Murnan AW, Tscholl JJ, Ganta R, Duah HO, Qasem I, Sezgin E. “Identification of Child Survivors of Sex Trafficking From Electronic Health Records: An Artificial Intelligence Guided Approach. Child Maltreat”. August 2023.
  13. Michel HK, Gorham TJ, Lee JA, Liu SB, Wright M, Maltz RM, Dotson JL. “Impact of Telemedicine on Delivery of Pediatric Inflammatory Bowel Disease Care”. J Pediatr Gastroenterol Nutr. October 2023.
  14. Azadani EN, McTigue DJ, Peng J, Casamassimo PS. “Associations between child abuse and neglect, and dento-alveolar injuries in a Children's hospital population”. Dent Traumatol. November 2023.
  15. Kopczynski K, Casamassimo P, Amini H, Peng J, Gorham T, Meyer B. “Evaluating Types of Pediatric Dental Utilization in Context of Neighborhood Opportunity.” Journal of the American Dental Association. November 2023.

Platform Presentations: 

  1. Childlike Wonder: Designing VR Experiences for Pediatric Patients and their Healthcare Providers. March 2023. John Luna
  2. Development Of A Predictive Model For Cardiac Dysfunction In Pediatric MIS-C Patients: Relevance Of Laboratory Biomarkers. May 2023. Brendan Galdo
  3. Panel Discussion: XR in Pediatric Healthcare. May 2023. John Luna
  4. Predicting Extubation Success. June 2023. Sven Bambach
  5. Predicting Hospital Readmission Risk in Patients with Severe Bronchopulmonary Dysplasia: Exploring the Impact of Neighborhood-Level Social Determinants of Health. June 2023. Tyler Gorham
  6. PEDS2040 Panel Discussion. June 2023. Xu Zhang
  7. Designing Virtual Reality for Pediatric Pain Management. September 2023. John Luna
2022

Peer Reviewed Papers:

  1. Guntu M, Lin ED, Sezgin E, Gregory ME, Huang Y, Linwood SL. Identifying the Factors Influencing Patients' Telehealth Visit Satisfaction: Survey Validation Through a Structural Equation Modeling Approach. Telemed J E Health. January 2022.
  2. Lin ED, Guntu M, Sezgin E, McLaughlin L, Ganta R, Lee J, Ramtekkar U, Huang Y, Linwood SL. Rapid Development of a Telehealth Patient Satisfaction Survey Using a Multi-Stakeholder Approach. Telemed J E Health. January 2022.
  3. deMayo R, Huang Y, Lin ED, Lee JA, Heggland A, Im J, Grindle C, Chandawarkar A. Associations of Telehealth Care Delivery with Pediatric Health Care Provider Well-Being. Appl Clin Inform. January 2022.
  4. Sezgin E, J Sirrianni, SL Linwood. “Operationalizing GPT-3 in Healthcare: An outlook of compliance, trust, and access for pre-trained large AI linguistic models”. JMIR Med Inform. February 2022.
  5. Zeng X., Liu C., Linwood S. Pretrained transformer framework on pediatric claims data for population specific tasks. Scientific Reports. March 2022.
  6. Boch S, Hussain S, Bambach S, DeShetler C, Chisolm D, Linwood S. Locating Youth Exposed to Parental Justice Involvement in the Electronic Health Record: Development of a Natural Language Processing Model. JMIR Pediatr Parent. March 2022.
  7. Sezgin E, Oiler B, Abbott B, Noritz G, Huang Y. Hey Siri, Help Me Take Care of My Child: A Feasibility Study With Caregivers of Children With Special Healthcare Needs Using Voice Interaction and Automatic Speech Recognition in Remote Care Management. Front Public Health. March 2022. 10.3389/fpubh.2022.849322. PMID: 35309210; PMCID: PMC8927637.
  8. Boynton JR, Amini H, Claman DB, Hammersmith KJ, Peng J, McDaniel JC, Casamassimo PS. Safety Training in US Pediatric Dentistry Advanced Education Programs: A Survey of Program Directors. Pediatr Dent. May 2022.
  9. Peng J, Patel AD, Burch M, Rossiter S, Parker W, Rust S. Predicting Patient No-Shows in an Academic Pediatric Neurology Clinic. Journal of Child Neurology. May 2022.
  10. Attipoe S, Hoffman J, Rust S, Huang Y, Barnard J, Schweikhart S, Hefner J, Walker D, Linwood S. Characterization of Electronic Health Record Use Outside Scheduled Clinic Hours Among Primary Care Pediatricians: Retrospective Descriptive Task Analysis of Electronic Health Record Access Log Data. JMIR Med Inform. May 2022.
  11. Lee JA, Yang S, Holland-Hall C, Sezgin E, Gill M, Lin S, Huang Y, Hoffman J. Prevalence of Sensitive Terms in Pediatric Clinical Notes: Implications in the Era of Information Blocking. JMIR Med Inform. June 2022.
  12. Lee, H., Li, B., DeForte, S. et al. A large collection of real-world pediatric sleep studies. Sci Data. July 2022.
  13. Sirrianni JW, Sezgin E, Claman D, Linwood SL. Medical text prediction and suggestion using generative pre-trained transformer models with dental medical notes. Methods Inf Med. July 2022.
  14. Peng J, Townsend J, Casamassimo P, Coury DL, Gowda C, Meyer B. Dental Care Differences Among the Behavioral Health Population in an Accountable Care Organization: A Retrospective Cohort. Acad Pediatr. August 2022.
  15. Bambach S., and Ho M.L. Deep Learning for Synthetic CT from Bone MRI in the Head and Neck. American Journal of Neuroradiology. August 2022. 
  16. Lieser T, Huang Y, Sezgin E. The Current State of Mobile Apps Owned by Large Pediatric Hospitals in the United States: Systematic Search and Analysis on Google Play and Apple App Stores. JMIR Pediatr Parent. September 2022.
  17. Azadani EN, Peng J, Townsend JA, Collins CL. Traumatic dental injuries in high school athletes in the United States of America from 2005 to 2020. Dent Traumatol. November 2022.
  18. Kocaballi AB, Sezgin E, Clark L, Carroll JM, Huang Y, Huh-Yoo J, Kim J, Kocielnik R, Lee YC, Mamykina L, Mitchell EG, Moore RJ, Murali P, Mynatt ED, Park SY, Pasta A, Richards D, Silva LM, Smriti D, Spillane B, Zhang Z, Zubatiy T. Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study. J Med Internet Res. November 2022.
  19. Mytinger JR, Parker W, Rust SW, Ahrens SM, Albert DVF, Beatty CW, Chrisman J, Clark DJ, Debs A, Denney D, Karn M, Herbst J, Ostendorf AP, Taylor MC, Twanow JDE, Vidaurre J, Patel AD. Prioritizing Hormone Therapy Over Vigabatrin as the First Treatment for Infantile Spasms: A Quality Improvement Initiative. Neurology. November 2022.
  20. Danesh DO, Peng J, Hammersmith KJ, Gowda C, Maciejewski H, Amini H, Wapner AW, Meyer BD. Impact on Dental Utilization of the Integration of Oral Health in Pediatric Primary Care Through Quality Improvement. J Public Health Manag Pract. December 2022.

Platform Presentations:

  1. Remote patient monitoring (RPM) through the narratives: Leveraging speech and free-text patient generated health data in shared clinical decision making and telehealth practice. Amad Hussain, Emre Sezgin, Katelyn Krivchenia, John Luna, Steve Rust, Yungui Huang
  2. Personal medical diaries meet AI: feasibility of using medical notes to improve remote care for cshcn during pandemic. Amad Hussain, Emre Sezgin, Katelyn Krivchenia, John Luna, Steve Rust, Yungui Huang
  3. Deploying the Deterioration Risk Index: From Binary to Bedside. Tyler Gorham
  4. Using Artificial Intelligence Agent DeepSuggest to Identify Patients with Rumination Syndrome. Julia Sabella
  5. The Deterioration Risk Index: Bridging the Machine Learning Implementation Gap. Tyler Gorham

 

2021
Peer Reviewed Papers: 

  1. Peng J, Zeng X, Townsend J, Liu G, Huang Y, Lin S. A Machine Learning Approach to Uncovering Hidden Utilization Patterns of Early Childhood Dental Care Among Medicaid-Insured Children. Front Public Health. January 2021. 

  2. Azadani EN, Townsend J, Peng J, Wheeler K, Xiang H. The association between traumatic dental and brain injuries in American children. Dent Traumatol. February 2021. 

  3. Mattox SL, Hammersmith KJ, Peng J, Casamassimo PS, Townsend JA. Absorbable Hemostatic Pack Effect After Primary Incisor Extraction: A Pilot Study and Introduction of a Novel Scale to Assess Post-Operative Bleeding. J Clin Pediatr Dent. April 2021. 

  4. Amini H, Gregory ME, Abrams MA, Luna J, Roland M, Sova LN, Bean C, Huang Y, Pfeil SA, Townsend J, Lin ED. Feasibility and usability study of a pilot immersive virtual reality-based empathy training for dental providers. J Dent Educ. June 2021. 

  5. Hussain SA, Sezgin E, Krivchenia K, Luna J, Rust S, Huang Y. A natural language processing pipeline to synthesize patient-generated notes toward improving remote care and chronic disease management: a cystic fibrosis case study. JAMIA Open. September 2021. 

  6. Ip W, Yang S, Parker J, Powell A, Xie J, Morse K, Aikens RC, Lee J, Gill M, Vundavalli S, Huang Y, Huang J, Chen JH, Hoffman J, Kuelbs C, Pageler N. Assessment of Prevalence of Adolescent Patient Portal Account Access by Guardians. JAMA Netw Open. September 2021.  

  7. Hammersmith K, Peng J. The Pandemic’s Impact on Applicants to Advanced Education in Pediatric Dentistry Programs and Recommendations for Virtual Interviews. Accepted for publication in J Dent Child (Chic). November 2021. 

  8. Zhang X, Huang Y, Lee J, Ganta R, Chandawarkar A, Linwood SL. Measuring Telehealth Visit Length and Schedule Adherence Using Videoconferencing Data. Telemed J E Health. November 2021. 

  9. Boch S, Hussain SA, Bambach S, DeShetler C, Chisolm D, Linwood. Locating Youth Exposed to Parental Justice-Involvement in the Electronic Health Record: Development of a Natural Language Processing Model. Accepted for publication in JMIR Pediatrics and Parenting. November 2021. 

  10. Kobayashi N, Bambach S, Ho ML. Ultrashort Echo-Time MR Imaging of the Pediatric Head and Neck. Magn Reson Imaging Clin N Am. November 2021. 

  11. Acceptability of Medical Immobilization: Results from a Pilot International Survey. Townsend JA, Peng J, McDaniel JC, Casamassimo PS.Int J Paediatr Dent. December 2021. 

  12. SD Yang, JA Lee, E Sezgin, J Bridge, S Lin  “Voice Assistant Clinical Advice in Postpartum Depression: An Empirical Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana”. JMIR mHealth uHealth. https://mhealth.jmir.org/2021/1/e24045/ Jan 2021.

  13. E. Sezgin, Y. Huang, D. Lin, U. Ramtekkar, L. Pauline and S. Lin  “Documented reasons of cancellation and rescheduling of telehealth appointments during the pandemic'. Telemedicine and e-health. DOI: https://doi.org/10.1089/tmj.2020.0454.  Jan 2021.

  14. Vo, A., Casamassimo, PS., Peng, J., Amini, H., Hammersmith, K.  Denial of Operating Room access for Pediatric Dental Treatment: A National Survey. Pediatric Dentistry. 

  15. L. Militello*, E. Sezgin*, Y. Huang and S. Lin  “Delivering Perinatal Health Information via Voice (SMILE App): A Feasibility Study”. Under revision. JMIR Formative Research. https://formative.jmir.org/2021/3/e18240 Mar 2021.

  16. Smith, M. Bambach, S., Selvaraj, B., Ho, M.L.  Zero-TE MRI: potential applications in the oral cavity and oropharynx. Topics in Magnetic Resonance Imaging. April 2021

  17. J. Yang, K. Yeates, J. Shi, L. Sullivan, P. Xun, G.H. Taylor, M. Tiso, T. Pommering, J. MacDonald, D. Cohen, A. Hautmann, N. Asa, B Singichetti, M. Bailey, Z, Lu. Association of Self-Paced Physical and Cognitive Activities Across the First Week Postconcussion With Symptom Resolution in Youth. The Journal of Head Trauma Rehabilitation March/April 2021.

  18. E Sezgin, G Noritz, S Lin, Y Huang. Feasibility of a Voice-Enabled Medical Diary App (SpeakHealth) for Caregivers of Children With Special Health Care Needs and Health Care Providers: Mixed Methods Study JMIR Form Res 2021;5(5):e25503 doi: 10.2196/25503  April 2021

  19. Vest, E, Armstrong, M. Peng, J, Xiang, H.  Publication. Emergency Department Visits for Prescription Opioid Overdose in US Children. The American Journal of Emergency Medicine. May 28, 2021.

  20. Azadani E, P. Casamassimo, J. Peng, A. Griffen,  H. Amini, A Kumar. Publication , Primary Second Molar Treatment under General Anesthesia as a Predictor of a Second GA. Pediatric Dentistry May 2021.

  21. KBenninger, J. Peng, ML Ho, J Less,  DJ Wang, HH Hu, AR Stark, JA Rusin, NL Maitre. Cerebral Prefusion and Neurological Exam Characterize Infants with Neonatal Opioid Withdrawal Syndrome.   

  22. D. Claman DDS, J.L. Molina DDS, J. Peng, P. Casamassimo DDS, H. Fischbach DDS. Accuracy of Parental Self Reporting of Medical History in a Dental Setting: Integrated vs. Non Integrated Records. Pediatric Dentistry. June 2021.

  23. VT Nguyen DMD, J Townsend, J. Peng, H. Amini DDS, MK Irwin, P. Casamassimo DDS. Publication Ohio Dentists' Perceptions on Children School Absenteeism for Dental Care Appointments. Journal of Dentistry for Children. 

  24. Kemper, A, Hostutler, C.A., Beck, K., Fontanella, C.A. Bridge, J. Publication Pediatrics Official Journal of the American Academy of Pediatrics. Depression and Suicide-Risk Screening Results in Pediatric Primary Care. Acknowledged: Beth Burkhart June 2021

  25. Zhang X, Huang Y, Lee J, Lin S,   Turning Digital Trials into a Telehealth Competitive Edge. Telemed J E Health. 2021 May 17, DOI: 10.1089/tmj.2020.0564. Epub ahead of print. PMID: 33999719.

  26. Xiang, H., Shen, J., Wheeler, K.K., Patterson, J., Lever, K., Armstrong, M., Shi, J., Thakkar, R.K., Groner, J.I., Noffsinger, D. and Giles, S.A., 2021. Efficacy of Smartphone Active and Passive Virtual Reality Distraction vs Standard Care on Burn Pain Among Pediatric Patients: A Randomized Clinical Trial. JAMA Network Open, 4(6), pp.e2112082-e2112082. June 2021

  27. S Moosavinasab, E Sezgin, H Sun, J Hoffman, Y Huang, S Lin. “DeepSuggest: Using Neural Networks to Suggest Related Keywords for a Comprehensive Search of Clinical Notes”. J of Applied Clinical Informatics Open.  05(01): e1-e12. June 2021.

  28. E. Sezgin  “Can we use commercial mobile apps instead of research mobile apps in healthcare research?”. Frontiers in Public Health. In press.  DOI: 10.3389/fpubh.2021.685439. July 2021.

  29. G. Metzger, J.C. Apfeld, L. Nishimura, T.J. Beyene, C. Lutz, K.J. Deans, P. Minneci. Room for Improvement: The Trephination Procedure for Pediatric Patients with Pilonidal Disease. Journal of Surgical Research. July 13, 2021.  Acknowledged: Swan Bee Liu. 

  30. S Boch, E Sezgin, D Ruch, K Kelleher, D Chisolm, S Lin.   “Unjust: The Health Records of Youth with Personal/Family Justice Involvement in a Large Pediatric Health System”. Journal of Health and Justice. 9 (20). August 2021.

 

Platform Presentations: 

  1. Reasons for cancellation and rescheduling of telehealth appointments during the pandemic: a retrospective qualitative study. January 1, 2021. Emre Sezgin 
  2. Engagement as another challenge of telehealth encounters during the pandemic: A study of cancellation and rescheduling from clinical documentations. January 1, 2021. Emre Sezgin
  3. Design and development of “DigaMedico”: A Medical Translation Assistant for Non–English Speaking Caregivers of Children With Special Health Care Needs. April 4, 2021. Emre Sezgin 
  4. Digital Health: Disruption Without Being Disrupted. March 31, 2021. Tyler Lieser, Simon Lin, Yungui Huang
  5. Perspectives of patients and families on the quality, opportunities, and challenges of telehealth at a large pediatric hospital. June 2021. Deborah Lin, Emre Sezgin, & Yungui Huang
  6. A Simulation-Based Approach to Bridging the Machine Learning Algorithm Implementation Gap. November 11, 2021. Tyler Gorham 
  7. Identifying the factors influencing patients' telehealth visit satisfaction: Survey validation through a structural equation modeling approach. November 11, 2021. Mounika Guntu 
  8. Natural Language Processing Aided Cohort Identification from Free-Text Clinical Notes. November 11, 2021. Amad Hussain 
  9. Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Neurology Clinic. November 11, 2021. Jin Peng 

 

2020

Peer Reviewed Papers:

  1. J Mittlesteadt, S. Bambach, A Dawes, E Wentzel, A Debs, E Sezgin, D Digby, Y Huang, A Ganger, S Bhatnagar, L Ehrenberg, S Nunley, P Glynn, S Lin, S Rust, A Patel (2020). “Evaluation of an Activity Tracker to detect Seizures Using Machine Learning”. J of Child Neurology. July 2020. 
  2. Sezgin E, Huang Y, Ramtekkar U, Lin S (2020). Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic. Nature (NPJ) Digital Medicine. In press. September 2020. 
  3. Sezgin E, Noritz G, Hoffman J, Huang Y (2020). Medical translation assistant for non-English speaking caregivers of CSHCN: A scalable and interoperable mobile app. JMIR Research Protocols. October 2020. 
  4. Arthur J Nowak, Diane Dooley, Leola Royston, Steve Rust, Jeffrey Hoffman, David Chen, Brent Merryman, Robin Wright, Paul Casamassimo. A Predictive Model for Primary Care Providers to Identify Children at Greatest Risk for Early Childhood Caries. Pediatric Dentistry. September 2020. 
  5. Azadani E, Peng J, Kumar A, Casamassimo P, Griffen A, Amini H, Ni A. A survival analysis of primary molars in children treated under general anesthesia. Journal of the American Dental Association. August 2020. 
  6. M. Das, E. Fosler-Lussier, B, S. Lin, S. Rust, Y. Huang, R. Ramnath. Sequence-to-Set Semantic Tagging for Complex Query Reformulation and Automated Text Categorization in Biomedical {IR} using Self-Attention. Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing. July 2020. 
  7. Alex Dawes, Selasi Attipoe, Jackson Mittlesteadt, Peter Glynn, Steve Rust, Andrea Debs, Anup Patel. Measuring the Impact of Epilepsy on Families. Epilepsy & Behavior. June 2020. 
  8. Katherine M. Seymour, Janice A. Townsend, Jin Peng, Daniel Claman, Kimberly Hammersmith, Paul Casamassimo. Caregiver Preferences of Greetings by Dental Staff. Journal of Dentistry for Children. May 2020. 
  9. Bambach, S., Smith, M., Morris, P.P., Campeau, N.G., Ho, M.L. Dec 2020. Arterial spin labeling applications in pediatric and adult neurological disorders. Journal of Magnetic Resonance Imaging. December 2020. 
  10. Bailey LC, Razzaghi H, Burrows EK, Kitzmiller M, et al. Assessment of 135 794 Pediatric Patients Tested for Severe Acute Respiratory Syndrome Coronavirus 2 Across the United States. JAMA Pediatr. November 2020. 
  11. DeForte S, Huang Y, Bourgeois T, Hussain SA, Lin S. The Association Between App-Administered Depression Assessments and Suicidal Ideation in User Comments: Retrospective Observational Study. JMIR Mhealth Uhealth. August 2020. 
  12. DeForte, S., Huang, Y., Bourgeois, T., Hussain, A., & Lin, S. (n.d.). The Association between App Administered Depression Assessments and Suicidal Ideation in the User Comments: An Observational Study (Preprint).
  13. DeForte, S., Sezgin, E., Huefner, J., Lucius, S., Luna, J., Satyapriya, A. A., & Malhotra, P. (2020). Usability of a Mobile App for Improving Literacy in Children With Hearing Impairment: Focus Group Study. JMIR Human Factors, 7(2), e16310.
  14. Gorham, T. J., Rust, S., Rust, L., Kuehn, S., Yang, J., Lin, J. S., Hoffman, J., Huang, Y., Lin, S., McClead, R., Brilli, R., Bode, R., & Maa, T. (2020). The Vitals Risk Index-Retrospective Performance Analysis of an Automated and Objective Pediatric Early Warning System. Pediatric Quality & Safety, 5(2), e271.
  15. Hammersmith, K. J., DePalo, J. R., Casamassimo, P. S., MacLean, J. K., & Peng, J. (2020). Silver Diamine Fluoride and Fluoride Varnish May Halt Interproximal Caries Progression in the Primary Dentition. The Journal of Clinical Pediatric Dentistry, 44(2), 79–83.
  16. Madden, A., Vajda, J., Llamocca, E. N., Campo, J. V., Gorham, T. J., Lin, S., & Fontanella, C. A. (2020). Factors associated with psychiatric readmission of children and adolescents in the U.S.: A systematic review of the literature. General Hospital Psychiatry, 65, 33–42.
  17. Miller, K., Hoyt, R., Rust, S., Doerschuk, R., Huang, Y., & Lin, S. M. (n.d.). The Financial Impact of Genetic Diseases in a Pediatric Accountable Care Organization.
  18. O’Donovan, R., Sezgin, E., Bambach, S., Butter, E., & Lin, S. (2020). Detecting Screams From Home Audio Recordings to Identify Tantrums: Exploratory Study Using Transfer Machine Learning. JMIR Formative Research, 4(6), e18279.
  19. Pope, C. N., Sezgin, E., Lin, S., Morris, N. L., & Zhu, M. (2020). Adolescents’ attitudes and intentions to use a smartphone app to promote safe driving. In Transportation Research Interdisciplinary Perspectives (Vol. 4, p. 100090).
  20. Sezgin, E., Militello, L., Huang, Y., & Lin, S. (n.d.). A Scoping Review of Patient-Facing, Behavioral Health Interventions with Voice Assistant Technology Targeting Self-management and Healthy Lifestyle Behaviors. In SSRN Electronic Journal.
  21. Sezgin, E., Noritz, G., Elek, A., Conkol, K., Rust, S., Bailey, M., Strouse, R., Chandawarkar, A., von Sadovszky, V., Lin, S., & Huang, Y. (2020). Capturing At-Home Health and Care Information for Children With Medical Complexity Using Voice Interactive Technologies: Multi-Stakeholder Viewpoint. Journal of Medical Internet Research, 22(2), e14202.
  22. Sezgin, E., Weiler, M., Weiler, A., Lin, S., & Hart, L. (2020). It Is a Life Journey: A Roadmap of Teens With Chronic Diseases in Transitioning to Independence. Journal of Pediatric Health Care: Official Publication of National Association of Pediatric Nurse Associates & Practitioners, 34(4), 346–355.
  23. Shen, J., Xiang, H., Luna, J., Grishchenko, A., Patterson, J., Strouse, R. V., Roland, M., Lundine, J. P., Koterba, C. H., Lever, K., Groner, J. I., Huang, Y., & Lin, E.-J. D. (2020). Designing a Virtual Reality-based Executive Function Rehabilitation System for Children with Traumatic Brain Injuries. JMIR Serious Games.
  24. Zeng, X., Feng, Y., Moosavinasab, S., Lin, D., Lin, S., & Liu, C. (2020). Multilevel Self-Attention Model and its Use on Medical Risk Prediction. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 25, 115–126.
  25. Yue, X., Wang, Z., Huang, J., Parthasarathy, S., Moosavinasab, S., Huang, Y., Lin, S. M., Zhang, W., Zhang, P., & Sun, H. (2020). Graph embedding on biomedical networks: methods, applications and evaluations. Bioinformatics , 36(4), 1241–1251.
  26. Ramtekkar, U., Bridge, J., Thomas, G., Butter, E., Reese, J., Logan, E., Lin, S., & Axelson, D. (2020). Pediatric Telebehavioral Health: A Transformational Shift in Care Delivery in the Era of COVID-19 (Preprint). In JMIR Mental Health.
  27. Ramtekkar, U., Bridge, J., Thomas, G., Butter, E., Reese, J., Logan, E., Lin, S., & Axelson, D. (2020). Pediatric Telebehavioral Health: A Transformational Shift in Care Delivery in the Era of COVID-19 (Preprint). In JMIR Mental Health.

Platform Presentations: 

  1. Optimizing Predictors of Pediatric Inpatient Deterioration: Transforming Anecdotes to Data-Driven Evidence. Feb 2020. Steve Rust, Tyler Gorham, Swan Bee Liu 
  2. Skeletal Outcomes in Children and Young Adults with Glomerular Disorders. May 2020. Melody Kitzmiller (acknowledged) 
2019

Peer Reviewed Papers:

  1. Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon Lin, Huan Sun. SurfCon: Synonym Discovery on Privacy-Aware Clinical Data. KDD. June 2019. 
  2. Attipoe, S., Huang, Y., Schweikhart, S., Rust, S., Hoffman, J., & Lin, S. (2019). Factors Associated With Electronic Health Record Usage Among Primary Care Physicians After Hours: Retrospective Cohort Study. JMIR Human Factors, 6(3), e13779.
  3. Dunn, A., Patterson, J., Biega, C. F., Grishchenko, A., Luna, J., Stanek, J. R., & Strouse, R. (2019). A Novel Clinician-Orchestrated Virtual Reality Platform for Distraction During Pediatric Intravenous Procedures in Children With Hemophilia: Randomized Controlled Trial. JMIR Serious Games, 7(1), e10902.
  4. Feng, Y., Lin, S., Lin, E.-J., Farley, L., Huang, Y., & Liu, C. (2019). Identifying Candidates for Medical Coding Audits: Demonstration of a Data Driven Approach to Improve Medicare Severity Diagnosis-Related Group Coding Compliance. In Health Information Science (pp. 47–57).
  5. Gasior, A. C., Reck, C., Lane, V., Wood, R. J., Patterson, J., Strouse, R., Lin, S., Cooper, J., Gregory Bates, D., & Levitt, M. A. (2019). Transcending Dimensions: a Comparative Analysis of Cloaca Imaging in Advancing the Surgeon’s Understanding of Complex Anatomy. Journal of Digital Imaging, 32(5), 761–765.
  6. Hu, Z., Sezgin, E., Lin, S., Zhang, P., Noh, H. Y., & Pan, S. (2019). Device-free Sleep Stage Recognition through Bed Frame Vibration Sensing. In Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing - DFHS’19.
  7. Kamimura-Nishimura, K. I., Epstein, J. N., Froehlich, T. E., Peugh, J., Brinkman, W. B., Baum, R., Gardner, W., Langberg, J. M., Lichtenstein, P., Chen, D., & Kelleher, K. J. (2019). Factors Associated with Attention Deficit Hyperactivity Disorder Medication Use in Community Care Settings. The Journal of Pediatrics, 213, 155–162.e1.
  8. Khare, R., Utidjian, L. H., Razzaghi, H., Soucek, V., Burrows, E., Eckrich, D., Hoyt, R., Weinstein, H., Miller, M. W., Soler, D., Tucker, J., & Bailey, L. C. (2019). Design and Refinement of a Data Quality Assessment Workflow for a Large Pediatric Research Network. EGEMS (Washington, DC), 7(1), 36.
  9. Krebs, B., Sanderson, D., Moreland, P., Kavanaugh, J., Roeder, R., Hoyt, R., Wedel, K., Chovanec, T., Chen, D., Rust, S., & Auletta, J. J. (2019). Nationwide Children’s Hospital BMT Smart Forms. In Biology of Blood and Marrow Transplantation (Vol. 25, Issue 3, pp. S96–S97).
  10. Lin, E.-J. D., Hefner, J. L., Zeng, X., Moosavinasab, S., Huber, T., Klima, J., Liu, C., & Lin, S. M. (2019). A deep learning model for pediatric patient risk stratification. The American Journal of Managed Care, 25(10), e310–e315.
  11. Lundine, J. P., Peng, J., Chen, D., Lever, K., Wheeler, K., Groner, J. I., Shen, J., Lu, B., & Xiang, H. (2020). The impact of driving time on pediatric TBI follow-up visit attendance. Brain Injury: [BI], 34(2), 262–268.
  12. Mezoff, E. A., Minneci, P. C., Hoyt, R. R., & Hoffman, J. M. (2019). Toward an Electronic Health Record Leveraged to Learn from Every Complex Patient Encounter: Health Informatics Considerations with Pediatric Intestinal Rehabilitation as a Model. The Journal of Pediatrics, 215, 257–263.
  13. Nunley, S., Glynn, P., Rust, S., Vidaurre, J., Albert, D. V. F., & Patel, A. D. (2019). A hospital-based study on caregiver preferences on acute seizure rescue medications in pediatric patients with epilepsy: Intranasal midazolam versus rectal diazepam. In Epilepsy & Behavior (Vol. 92, pp. 53–56).
  14. Patel, A. D., Glynn, P., Falke, A. M., Reynolds, M., Hoyt, R., Hoynes, A., Moore-Clingenpeel, M., Salvator, A., & Moreland, J. J. (2019). Impact of a Make-A-Wish experience on healthcare utilization. Pediatric Research, 85(5), 634–638.
  15. Sezgin, E., & Lin, S. (2019). Technology-Based Interventions, Assessments, and Solutions for Safe Driving Training for Adolescents: Rapid Review. JMIR mHealth and uHealth, 7(1), e11942.
  16. Townsend, J. A., Peng, J., Miller, M., Yu, Q., Babin, V., & Fournier, S. E. (2019). Characteristics of Pediatric Dentists Who Work When Sick. Pediatric Dentistry, 41(6), 464–471.
  17. Yang, J., Yeates, K., Sullivan, L., Singichetti, B., Newton, A., Xun, P., Taylor, H. G., MacDonald, J., Pommering, T., Tiso, M., Cohen, D., Huang, Y., Patterson, J., & Lu, Z.-L. (2019). Rest Evaluation for Active Concussion Treatment (ReAct) Protocol: a prospective cohort study of levels of physical and cognitive rest after youth sports-related concussion. BMJ Open, 9(4), e028386.
  18. Yue, X., Wang, Z., Huang, J., Parthasarathy, S., Moosavinasab, S., Huang, Y., Lin, S. M., Zhang, W., Zhang, P., & Sun, H. (2019). Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations. Bioinformatics .

Platform Presentations:

  1. SpeakHealth: A voice-interactive app for caregivers having children with medical complexities to transform care management, documentation, and coordination at home setting. November 2019. Emre Sezgin 
  2. Pre-symptomatic spinal muscular atrophy: reality or myth? June 2019. David Chen 
  3. Text Analytics in a Pediatric Hospital: What we learned at Nationwide Children’s Hospital. June 2019. David Chen 
  4. Analytics is a Team Sport. June 2019. Tyler Gorham 
  5. Search Clinical Notes Easier, Faster, and Smarter? May 2019. Soheil Moosavi 
  6. An Innovative Approach to Collect and Analyze Objective Data on Physical and Cognitive Rest Post-concussion. April 2019. Sven Bambach 
  7. Alkphos. January 2019. Rajesh Ganta (acknowledged) 
  8. Optimizing Predictors of Pediatric Inpatient Deterioration: Transforming Anecdotes to Data-Driven Evidence. August 2019. Tyler Gorham 
  9. Soheil Moosavinasab, David Chen, Yungui Huang, Simon Lin. Text Analytics in a Pediatric Hospital: What we learned at Nationwide Children’s Hospital. Advancing Analytics in Children’s Hospitals Conference. June 2019
  10. Lindsay Alfano, David Chen, Steve Rust, Linda Lowes. Pre-symptomatic spinal muscular atrophy: reality or myth? 23rd Annual Spinal Muscular Atrophy Researcher Meeting. June 2019
  11. Tyler Gorham, Laura Rust, Richard Hoyt, Steve Rust. Analytics is a team Sport.  Advancing Analytics in Children’s Hospitals Conference. June 2019
  12. Yang JZ; Baily M; Strouse R; Bambach S, Singichetti B; Newton A; Asa N. Society for Advancement of Violence and Injury Research (SAVIR) Conference. May 2019
2018

Peer Reviewed Papers:

  1. McKenzie, L.B., Roberts, K.J., Clark, R. et al. A randomized controlled trial to evaluate the Make Safe Happen® app—a mobile technology-based safety behavior change intervention for increasing parents’ safety knowledge and actions. Inj. Epidemiol. March 2018. 
  2. Chen, D., Rust, S., Lin, E.-J. D., Lin, S., Nelson, L., Alfano, L., & Lowes, L. P. (2018). Prediction of Clinical Outcomes of Spinal Muscular Atrophy Using Motion Tracking Data and Elastic Net Regression. In Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics - BCB ’18.
  3. Das, M., Fosler-Lussier, E., Lin, S., Moosavinasab, S., Chen, D., Rust, S., Huang, Y., & Ramnath, R. (2018). Phrase2VecGLM: Neural generalized language model–based semantic tagging for complex query reformulation in medical IR. In Proceedings of the BioNLP 2018 workshop.
  4. Lundine, J. P., Harnish, S. M., McCauley, R. J., Blackett, D. S., Zezinka, A., Chen, W., & Fox, R. A. (2018). Adolescent Summaries of Narrative and Expository Discourse: Differences and Predictors. Language, Speech, and Hearing Services in Schools, 49(3), 551–568.
  5. Nunley, S., Glynn, P., Rust, S., Vidaurre, J., Albert, D. V. F., & Patel, A. D. (2018). Healthcare Utilization Characteristics for Intranasal Midazolam Versus Rectal Diazepam. Journal of Child Neurology, 33(2), 158–163.
  6. Oliver, E. A., Klebanoff, M., Yossef-Salameh, L., Oza-Frank, R., Moosavinasab, S., Reagan, P., Muglia, L., Buhimschi, C. S., & Buhimschi, I. A. (2018). Preterm Birth and Gestational Length in Four Race–Nativity Groups, Including Somali Americans. In Obstetrics & Gynecology (Vol. 131, Issue 2, pp. 281–289).
  7. Prinzbach, A., Moosavinasab, S., Rust, S., Boyle, B., Barnard, J. A., Huang, Y., & Lin, S. (2018). Comorbidities in Childhood Celiac Disease: A Phenome Wide Association Study Using the Electronic Health Record. Journal of Pediatric Gastroenterology and Nutrition, 67(4), 488–493.
  8. Sezgin, E., Weiler, M., Weiler, A., & Lin, S. (2018). Proposing an Ecosystem of Digital Health Solutions for Teens With Chronic Conditions Transitioning to Self-Management and Independence: Exploratory Qualitative Study. In Journal of Medical Internet Research (Vol. 20, Issue 9, p. e10285).
  9. Swaminathan, R., Huang, Y., Miller, K., Pastore, M., Hashimoto, S., Jacobson, T., Mouhlas, D., & Lin, S. (2018). Transferring Exome Sequencing Data from Clinical Laboratories to Healthcare Providers: Lessons Learned at a Pediatric Hospital. Frontiers in Genetics, 9, 54.
  10. Walawender, L., Patterson, J., Strouse, R., Ketz, J., Saxena, V., Alexy, E., & Schwaderer, A. (2018). Mobile Technology Application for Improved Urine Concentration Measurement Pilot Study. Frontiers in Pediatrics, 6, 160.
  11. Nowak A., Dooley D., Royston L., Rust S., Chen D., Merryman B.,Mathew T., Hoffman J., Wright R., & Casamassimo P. (2018) Predictive Model for Caries Risk Based on Determinants of Health Available to Primary Care Providers. In AADP.

Platform Presentations:

  1. Early Childhood Caries: A Predictive Model Using Variables Regularly Documented During Well-Child Visit. February 2018. David Chen 
  2. Use of the ACTIVE-mini for quantifying movement in infants with Spinal Muscular Atrophy. October 2018. David Chen 
  3. Prediction of Clinical Outcomes of Spinal Muscular Atrophy Using Motion Tracking Data and Elastic Net Regression. September 2018. David Chen 
  4. Rust L, Gorham T. Optimizing Predictors of Pediatric Inpatient Deterioration: Transforming Anecdotes to Data-Driven Evidence. American Academy of Pediatrics National Conference, Orlando, FL. November 2018.
  5. Nelson L, Alfano L, Chen D, Miller N, Dugan M, Rust S, Lin E, Lin S, Wang-Price S, Swank C, Thompson M, LowesL. Use of the ACTIVE-mini for quantifying movement in infants with Spinal Muscular Atrophy. 23rd International Congress of the Muscle Society. October 2018
  6. Royston LK, Nowak A, Dooley D, Rust S, Chen D, Mathew T, Hoffman J, Wright R, Casamassimo P.  Early Childhood Caries: A Predictive Model Using Variables Regularly Documented During Well-Child Visit.  Pediatrics Aug 2019, 144 (2 MeetingAbstract) 717; DOI: 10.1542/peds.144.2_MeetingAbstract.717
2017

Peer Reviewed Papers: 

  1. Chen W, Durkin C, Huang Y, Adler B, Rust S, Lin S. Simplified Readability Metric Drives Improvement of Radiology Reports: An Experiment on Ultrasound Reports at a Pediatric Hospital. J Digit Imaging. December 2017. 
  2. Chen, W., Durkin, C., Huang, Y., Adler, B., Rust, S., & Lin, S. (2017). Simplified Readability Metric Drives Improvement of Radiology Reports: an Experiment on Ultrasound Reports at a Pediatric Hospital. Journal of Digital Imaging, 30(6), 710–717.
  3. Khare, R., Utidjian, L., Ruth, B. J., Kahn, M. G., Burrows, E., Marsolo, K., Patibandla, N., Razzaghi, H., Colvin, R., Ranade, D., Kitzmiller, M., Eckrich, D., & Bailey, L. C. (2017). A longitudinal analysis of data quality in a large pediatric data research network. Journal of the American Medical Informatics Association: JAMIA, 24(6), 1072–1079.
  4. Miller, K. E., & Lin, S. M. (2017). Addressing a patient-controlled approach for genomic data sharing [Review of Addressing a patient-controlled approach for genomic data sharing]. Genetics in Medicine: Official Journal of the American College of Medical Genetics, 19(11), 1280–1281.
  5. Swaminathan, R., Huang, Y., Astbury, C., Fitzgerald-Butt, S., Miller, K., Cole, J., Bartlett, C., & Lin, S. (2017). Clinical exome sequencing reports: current informatics practice and future opportunities. Journal of the American Medical Informatics Association: JAMIA, 24(6), 1184–1191.

Platform Presentations: 

  1. Building trust among multiple stakeholders in precision medicine by blockchain. 2017. Simon Lin, Yungui Huang 
  2. Healthcare cost analysis of medical child. April 2017. Richard Hoyt 
  3. Data Analytics Capabilities at NCH. July 2017. Richard Hoyt, Yungui Huang 
  4. Enterprise Strategy to Change Healthcare via Data Science: Nationwide Children's Hospital Case Study. September 2017. Steve Rust, Simon Lin, Yungui Huang 
  5. Genome Dashboard: An Interactive Tool for the Exploration of Human Genomic Variants and Phenotypic Associations. November 2017. Katherine Miller 
  6. DeepSuggest: Query Expansion for clinical notes by Neural Networks. November 2017. Soheil Moosavi 
2016

Peer Reviewed Papers:

  1. Backes, C. H., Bonachea, E. M., Rivera, B. K., Reynolds, M. M., Kovalchin, C. E., Reber, K. M., Ball, M. K., Sutsko, R., Guntupalli, S. R., Smith, C. V., Mahan, J. D., & Carbajal, M. M. (2016). Preparedness of pediatric residents for fellowship: a survey of US neonatal-perinatal fellowship program directors. Journal of Perinatology: Official Journal of the California Perinatal Association, 36(12), 1132–1137.
  2. Chen, W., Huang, Y., Boyle, B., & Lin, S. (2016). The utility of including pathology reports in improving the computational identification of patients. Journal of Pathology Informatics, 7, 46.
  3. Chen, W., Wheeler, K. K., Lin, S., Huang, Y., & Xiang, H. (2016). Computerized “Learn-As-You-Go” classification of traumatic brain injuries using NEISS narrative data. Accident; Analysis and Prevention, 89, 111–117.
  4. Moosavinasab, S., Patterson, J., Strouse, R., Rastegar-Mojarad, M., Regan, K., Payne, P. R. O., Huang, Y., & Lin, S. M. (2016). “RE:fine drugs”: an interactive dashboard to access drug repurposing opportunities. Database: The Journal of Biological Databases and Curation, 2016.
  5. Patel, A. D., Moss, R., Rust, S. W., Patterson, J., Strouse, R., Gedela, S., Haines, J., & Lin, S. M. (2016). Patient-centered design criteria for wearable seizure detection devices. Epilepsy & Behavior: E&B, 64(Pt A), 116–121.
  6. Regan, K., Moosavinasab, S., Payne, P., & Lin, S. (2016). Drug Repurposing Hypothesis Generation Using the “RE:fine Drugs” System. Journal of Visualized Experiments: JoVE, 118.
  7. Swaminathan, R., Huang, Y., Moosavinasab, S., Buckley, R., Bartlett, C. W., & Lin, S. M. (2016). A Review on Genomics APIs. Computational and Structural Biotechnology Journal, 14, 8–15.
  8. Moosavinasab S, Patterson J, Wheeler KK, Strouse R, Xiang H, Huang Y., Lin SM. (2016) Re:fine NEISS: a real-time interaction search system for consumer product-related injury ed visits in United States. Injury Prevention 22:A129.
  9. Grishchenko, A., Luna, J., & Patterson, J. (2016). Voxel bay. In ACM SIGGRAPH 2016 Talks on - SIGGRAPH ’16.
  10. Chen D., Moosavinasab S., Zemke A., Prinzbach A., Rust S., Huang Y., & Lin S. (2016). Evaluation of a Machine Learning Method to Rank PubMed Central Articles For Clinical Relevancy: NCH at TREC 2016 Clinical Decision Support Track.
2015

Peer Reviewed Papers:

  1. Chen, W., Kowatch, R., Lin, S., Splaingard, M., & Huang, Y. (2015). Interactive Cohort Identification of Sleep Disorder Patients Using Natural Language Processing and i2b2. Applied Clinical Informatics, 6(2), 345–363.
  2. Chen, W., Wheeler, K., Huang, Y., Lin, S., Sui, D., & Xiang, H. (2015). Evaluation of Spatial Accessibility to Ohio Trauma Centers Using a GIS-Based Gravity Model. In British Journal of Medicine and Medical Research (Vol. 10, Issue 7, pp. 1–12).