October 1, 2021

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

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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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Authors

Chenxi Huang

Shu‐Xia Li

César Caraballo

Journals

Circulation Cardiovascular Quality and Outcomes

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Harvard University

Yale University

Texas A&M University

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

Key Points

Abstract

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Connected Papers

Discussion

Authors

Journals

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Institutions

References and Citations

Citation Network

Connected Papers

Discussion

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