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A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

The racial and ethnic make-up of our study data included 1834 (19%) non-Hispanic Black participants, 678 (7%) Hispanic or Latino participants, and 7123 (74%) non-Hispanic White participants. In addition, 3437 (36%) of participants had a history of CVD. The mean (SD) body mass index was 32.2 (5.4) kg/m2, systolic blood pressure was 136.5 (17.1) mm Hg, and diastolic blood pressure was 74.9 (10.7) mm Hg. Of the sample, 880 (9.1%) experienced an MI, and 197 (2%) had a stroke during the follow-up period.

Yang Yang, Che-Yi Liao, Esmaeil Keyvanshokooh, Hui Shao, Mary Beth Weber, Francisco J Pasquel, Gian-Gabriel P Garcia

JMIR Med Inform 2025;13:e66200

Implementation and Evaluation of a Best Practice Advisory to Reduce Inequities in Technology Use for People With Type 1 Diabetes: Protocol for a Mixed Methods, Nonrandomized Controlled Trial

Implementation and Evaluation of a Best Practice Advisory to Reduce Inequities in Technology Use for People With Type 1 Diabetes: Protocol for a Mixed Methods, Nonrandomized Controlled Trial

Compared with Non-Hispanic White people with T1 D, Non-Hispanic Black people with T1 D have 1.5% higher glycated hemoglobin (Hb A1c) levels on average [9] and are more than 3 times as likely to be hospitalized for hypoglycemia or DKA [10,11], yet they are half as likely to be using ADTs [12].

Nestoras Mathioudakis, Risa Wolf, Abha Choudhary, Georgia Davis, Mary Pat Gallagher, Meenal Gupta, Manmohan Kamboj, Nicole Rioles, Emma Ospelt, Susan Thapa, Ruth S Weinstock, Trevon Wright, Osagie Ebekozien

JMIR Res Protoc 2025;14:e71038