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Understanding Arteriosclerotic Heart Disease Patients Using Electronic Health Records: A Machine Learning and Shapley Additive exPlanations Approach |
Eka Miranda, Suko Adiarto, Faqir M. Bhatti, Alfi Yusrotis Zakiyyah, Mediana Aryuni, Charles Bernando |
Healthc Inform Res. 2023;29(3):228-238. Published online July 31, 2023 DOI: https://doi.org/10.4258/hir.2023.29.3.228 |
Understanding Arteriosclerotic Heart Disease Patients Using Electronic Health Records: A Machine Learning and Shapley Additive exPlanations Approach Assessing the Suitability of Boosting Machine-Learning Algorithms for Classifying Arsenic-Contaminated Waters: A Novel Model-Explainable Approach Using SHapley Additive exPlanations Bankruptcy prediction using machine learning and Shapley additive explanations MSR69 Leading Predictors of Economic Burden Among Postmenopausal Women with Heart Failure: An Application of Machine Learning with Xgboost and Shapley Additive Explanations A novel approach to explain the black-box nature of machine learning in compressive strength predictions of concrete using Shapley additive explanations (SHAP) Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations Securing Electronic Health Records against Insider-Threats: A Supervised Machine Learning Approach Securing Electronic Health Records against Insider-Threats: A Supervised Machine Learning Approach Understanding the Factors Influencing Pedestrian Walking Speed over Elevated Facilities using Tree-Based Ensembles and Shapley Additive Explanations Improved Prediction of Total Energy Consumption and Feature Analysis in Electric Vehicles Using Machine Learning and Shapley Additive Explanations Method |