Predictive divergence in machine learning models for clinical mortality risk: A multicohort study of covid-19 patients

Predictive divergence in machine learning models for clinical mortality risk: A multicohort study of covid-19 patients

Background Machine learning (ML) algorithms are increasingly used in healthcare to support clinical decision-making. While models with similar overall performance are often considered interchangeable for deployment, they may produce divergent predictions, a p…

Abstract Background Machine learning (ML) algorithms are increasingly used in healthcare to support clinical decision-making. While models with similar overall performance are often considered inte… [+39384 chars]
Predictive divergence in machine learning models for clinical mortality risk: A multicohort study of covid-19 patients - FHMnews