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

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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Detalles Bibliográficos
Autores principales: Miranda, Eka, Adiarto, Suko, Bhatti, Faqir M., Zakiyyah, Alfi Yusrotis, Aryuni, Mediana, Bernando, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440196/
https://www.ncbi.nlm.nih.gov/pubmed/37591678
http://dx.doi.org/10.4258/hir.2023.29.3.228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10440196/
https://www.ncbi.nlm.nih.gov/pubmed/37591678
http://dx.doi.org/10.4258/hir.2023.29.3.228

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