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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

In CVD management, both sensitivity and specificity play important roles in correctly identifying patients who are at risk of MI or stroke, along with those who are at low risk of these outcomes. Because correctly identifying those at high risk of MI or stroke is critical to initiating clinical interventions, we specifically use a value of u=23 in our analysis – leaning slightly toward higher sensitivity over specificity.

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