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A Physiology-Aware, Orthogonalized, Calibration-First Machine-Learning Diabetes Risk Model Robust to Population Shift

2026-01-23

Abstract excerpt

<title>Abstract</title> <p>Type 2 diabetes remains a global health burden, with rising prevalence despite extensive public health campaigns and clinical interventions. Traditional risk estimation tools, such as the American Diabetes Association (ADA) risk test and rule-based scoring systems, have long been used for early identification but often lack calibration, interpretability, or adaptability across populatio...

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Literature Corpus work
fdc2f4ed-2142-59eb-b73b-f02a169ac081
DOI
10.21203/rs.3.rs-8627838/v1
Open publication

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A Physiology-Aware, Orthogonalized, Calibration-First Machine-Learning Diabetes Risk Model Robust to Population ShiftDOI 10.21203/rs.3.rs-8627838/v1
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