The Development and Validation of Multivariable Electronic Health Record-Based Models to Predict Diabetic Ketoacidosis-Related Hospitalizations for Adults with Type 1 Diabetes
We developed EHR-based logistic regression models that effectively predict DKA-related hospitalizations in adults with T1D. Future work will enhance model performance by incorporating additional features and applying advanced machine learning methods.
Authors
- Jacob Kohlenberg (ORCID: https://orcid.org/0000-0002-7157-0524)
- Amy C. Gross (ORCID: https://orcid.org/0000-0003-2809-8460)
- Mark A. Clements (ORCID: https://orcid.org/0000-0002-2368-0331)
- Lisa S. Chow (ORCID: https://orcid.org/0000-0002-6210-2307)
- Nestoras Mathioudakis (ORCID: https://orcid.org/0000-0002-0210-655X)
- Sisi Ma (ORCID: https://orcid.org/0000-0003-2956-6844)
- Erika S. Helgeson (ORCID: https://orcid.org/0000-0001-5170-7100)
- Meng Xu (ORCID: https://orcid.org/0000-0002-2218-6737)
- Craig A. Vandervelden (ORCID: https://orcid.org/0000-0003-1185-7563)
- Ryan Coopergard (ORCID: https://orcid.org/0009-0009-0901-0700)
Institutions
- University of Minnesota (US)
Publication Details
- Journal
- Diabetes Technology & Therapeutics
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1177/15209156251387161
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00