Article

The Independence of Discrimination and Calibration in Clinical Risk Prediction: Lessons from a Multi-Timeframe Diabetes Prediction Framework

2026-02-14

Abstract excerpt

<h4>Background</h4> Clinical risk prediction models are typically evaluated by discrimination (area under the receiver operating characteristic curve, AUC), with calibration receiving less attention. We developed a multi-timeframe diabetes prediction framework emphasizing calibration and used synthetic data validation to investigate whether good discrimination guarantees good calibration. <h4>Methods</h4> We gen...

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Literature Corpus work: 9666cd51-3e97-505f-a9ca-c395fa36948d
DOI: 10.64898/2026.02.12.26346147

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