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

Artificial Intelligence in Diabetes Care and Prevention (32) Clinical Informatics (1091) Clinical Information and Decision Making (1513) Decision Support for Health Professionals (1269) Diabetes (212) Diabetes Health Services and System Innovations (124) Diabetes-specific EHR Improvements (33) Secondary Use of Clinical Data for Research and Surveillance (387)

Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53338, first published .
A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study

A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study

A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study

Authors of this article:

Devika Subramanian1 Author Orcid Image ;   Rona Sonabend2, 3 Author Orcid Image ;   Ila Singh4, 5 Author Orcid Image
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Devika Subramanian   1 , PhD ;   Rona Sonabend   2, 3 , MD ;   Ila Singh   4, 5 , MD, PhD

1 Department of Computer Science, Rice University, Houston, TX, United States

2 Department of Pediatrics, Baylor College of Medicine, Houston, TX, United States

3 Division of Endocrinology, Department of Pediatrics, Texas Children’s Hospital, Houston, TX, United States

4 Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, United States

5 Divisions of Laboratory Medicine and Pathology Informatics, Department of Pathology, Texas Children’s Hospital, Houston, TX, United States

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