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October 1, 2021Circulation Cardiovascular Quality and Outcomes85 citations

Performance Metrics for the Comparative Analysis of Clinical Risk Prediction Models Employing Machine Learning

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CHChenxi HuangSLShu‐Xia LiCCCésar Caraballo

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Abstract

We demonstrate that commonly reported metrics may not have sufficient sensitivity to identify improvement of machine learning models and propose the use of a comprehensive list of performance metrics for reporting and comparing clinical risk prediction models.

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Huang et al. (2021) studied this question.

synapsesocial.com/papers/69eeddfca84321e0ae63c294https://doi.org/10.1161/circoutcomes.120.007526
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