Published on in Vol 9 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/53338, first published
.

Journals
- Tallon E, Williams D, Schweisberger C, Mullaney C, Lockee B, Ferro D, Vandervelden C, Barnes M, Sarteau A, Kahkoska A, Patton S, Mehta S, McDonough R, Lind M, D'Avolio L, Clements M. Towards a Clinically Actionable, Electronic Health Record-Based Machine Learning Model to Forecast 90-Day Change in Hemoglobin A1c in Youth with Type 1 Diabetes: Feasibility and Model Development Study (Preprint). JMIR Diabetes 2025 View