APA (7th ed.) Citation

EM, T., DD, W., C, S., C, M., B, L., D, F., . . . MA, C. (2025). 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. JMIR diabetes, 10, e69142. https://doi.org/10.2196/69142

Chicago Style (17th ed.) Citation

EM, Tallon, et al. "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." JMIR Diabetes 10 (2025): e69142. https://doi.org/10.2196/69142.

MLA (9th ed.) Citation

EM, Tallon, et al. "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." JMIR Diabetes, vol. 10, 2025, p. e69142, https://doi.org/10.2196/69142.