Clinical Validation of Explainable Deep Learning Model for Predicting the Mortality of In-Hospital Cardiac Arrest Using Diagnosis Codes of Electronic Health Records
Chien-Yu Chi,
Hadi Moghadas-Dastjerdi,
Adrian Winkler
et al.
Abstract:Background:
Using deep learning for disease outcome prediction is an
approach that has made large advances in recent years. Notwithstanding its
excellent performance, clinicians are also interested in learning how input
affects prediction. Clinical validation of explainable deep learning models is
also as yet unexplored. This study aims to evaluate the performance of Deep
SHapley Additive exPlanations (D-SHAP) model in accurately identifying the
diagnosis code associated with the highest mor… Show more
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