Peer Reviewed and Accepted Paper and Platform Presentations

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 2021. 
  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 2021. 
  3. 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. 
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. HuangD. 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. AcknowledgedBeth Burkhart June 2021

  25. Zhang XHuang 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 Open4(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.  AcknowledgedSwan 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).