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Internal and External Validation of Machine Learning Algorithms Versus FINDRISC for Incident Type 2 Diabetes: A Transparent, Explainable Benchmark Using SHAP

2025-09-07

Abstract excerpt

<h4>Background</h4> Type 2 diabetes mellitus (T2DM) affects almost half a billion people, and the projected cost is $2.25 trillion by 2030; early detection strategies are needed for prevention. However, Finnish Diabetes Risk Score (FINDRISC) enables questionnaire-based risk assessment; its linearity and lack of interpretability limit predictive power and generalizability across diverse populations. Machine learni...

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Literature Corpus work
f9cd6f88-f145-5515-b7ca-0ed5def409f8
DOI
10.1101/2025.09.05.25335151
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Internal and External Validation of Machine Learning Algorithms Versus FINDRISC for Incident Type 2 Diabetes: A Transparent, Explainable Benchmark Using SHAPDOI 10.1101/2025.09.05.25335151
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