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

Chenxi HuangShu-Xia LiCesar CaraballoFrederick A MasoudiJohn S RumsfeldJohn A SpertusSharon-Lise T NormandBobak J MortazaviHarlan M Krumholz
Published in: Circulation. Cardiovascular quality and outcomes (2021)
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.
Keyphrases
  • machine learning
  • artificial intelligence
  • emergency department
  • deep learning
  • drug induced