Clinical Validation of Explainable Deep Learning Model for Predicting the Mortality of In-Hospital Cardiac Arrest Using Diagnosis Codes of Electronic Health Records

• Published in: Reviews in cardiovascular medicine Vol. 24; no. 9; p. 265
• Main Authors: Chi, Chien-Yu, Moghadas-Dastjerdi, Hadi, Winkler, Adrian, Ao, Shuang, Chen, Yen-Pin, Wang, Liang-Wei, Su, Pei-I, Lin, Wei-Shu, Tsai, Min-Shan, Huang, Chien-Hua
• Format: Journal Article
• Language: English
• Published: Singapore IMR Press 01.09.2023
• Subjects: artificial intelligence; electronic health record; explainable deep learning model; in-hospital cardiac arrest; Original Research; shap; in-hospital cardiac arrest; SHAP; electronic health record; artificial intelligence; explainable deep learning model

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 a...