Implementing an Ensemble Learning Model with Feature Selection to Predict Mortality among Patients Who Underwent Three-Vessel Percutaneous Coronary Intervention

Implementing an Ensemble Learning Model with Feature Selection to Predict Mortality among Patients Who Underwent Three-Vessel Percutaneous Coronary Intervention

Coronary artery disease (CAD) is a common major disease. Revascularization with percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) could relieve symptoms and myocardial ischemia. As the treatment improves and evolves, the number of aged patients with complex diseases and...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Yen-Chun Huang, Kuan-Yu Chen, Shao-Jung Li, Chih-Kuang Liu, Yang-Chao Lin, Mingchih Chen
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2022-08-01
Sarja:Applied Sciences
Aiheet:
percutaneous coronary intervention
National Health Insurance Research Database
mortality prediction
machine learning
ensemble learning model
feature selection
Linkit:https://www.mdpi.com/2076-3417/12/16/8135

Internet

https://www.mdpi.com/2076-3417/12/16/8135

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