Toward a Clinically Actionable, Electronic Health Record–Based Machine Learning Model to Forecast 90-Day Change in Hemoglobin A_1c in Youth With Type 1 Diabetes: Feasibility and Model Development Study

Toward 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

Authors of this article:

Erin M Tallon^{1, 2, 3} ;   David D Williams⁴ ;   Cintya Schweisberger^{1, 2} ;   Colin Mullaney⁵ ;   Brent Lockee¹ ;   Diana Ferro⁶ ;   Craig A Vandervelden¹ ;   Mitchell S Barnes¹ ;   Angelica Cristello Sarteau⁷ ;   Anna R Kahkoska⁷ ;   Susana R Patton⁸ ;   Sanjeev Mehta⁹ ;   Ryan McDonough^{1, 2, 10} ;   Marcus Lind^{11, 12, 13} ;   Leonard D'Avolio^{5, 14, 15} ;   Mark A Clements^{1, 2}