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Understanding Arteriosclerotic Heart Disease Patients Using Electronic Health Records: A Machine Learning and Shapley Additive exPlanations Approach 원문보기

Healthcare informatics research, v.29 no.3, 2023년, pp.228 - 238  

Miranda, Eka ,  Adiarto, Suko ,  Bhatti, Faqir M. ,  Zakiyyah, Alfi Yusrotis ,  Aryuni, Mediana ,  Bernando, Charles

Abstract AI-Helper 아이콘AI-Helper

Objectives: The number of deaths from cardiovascular disease is projected to reach 23.3 million by 2030. As a contribution to preventing this phenomenon, this paper proposed a machine learning (ML) model to predict patients with arteriosclerotic heart disease (AHD). We also interpreted the predictio...

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