This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (1185) Electronic Health Records (1053) Clinical or Consumer-Focused Software for Diabetes (18)

Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18874, first published .
An Iterative Process for Identifying Pediatric Patients With Type 1 Diabetes: Retrospective Observational Study

An Iterative Process for Identifying Pediatric Patients With Type 1 Diabetes: Retrospective Observational Study

An Iterative Process for Identifying Pediatric Patients With Type 1 Diabetes: Retrospective Observational Study

Authors of this article:

Heather Lynne Morris1 Author Orcid Image ;   William Troy Donahoo2 Author Orcid Image ;   Brittany Bruggeman2 Author Orcid Image ;   Chelsea Zimmerman2 Author Orcid Image ;   Paul Hiers2 Author Orcid Image ;   Victor W Zhong3 Author Orcid Image ;   Desmond Schatz4 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Hogan W, Shenkman E, Robinson T, Carasquillo O, Robinson P, Essner R, Bian J, Lipori G, Harle C, Magoc T, Manini L, Mendoza T, White S, Loiacono A, Hall J, Nelson D. The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope. Journal of the American Medical Informatics Association 2022;29(4):686 View
  2. Li P, Spector E, Alkhuzam K, Patel R, Donahoo W, Bost S, Lyu T, Wu Y, Hogan W, Prosperi M, Dixon B, Dabelea D, Utidjian L, Crume T, Thorpe L, Liese A, Schatz D, Atkinson M, Haller M, Shenkman E, Guo Y, Bian J, Shao H. Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network. Diabetes, Obesity and Metabolism 2024 View