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

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Summary

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

Source: Plos.org

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