Rotation Forest Ensemble Classifier to Improve the Cardiovascular Disease Risk Prediction Accuracy

• 主要な著者: Reddy, K.V.V., Elamvazuthi, I., Aziz, A.A., Paramasivam, S., Chua, H.N., Pranavanand, S.
• フォーマット: Conference or Workshop Item
• 出版事項: Institute of Electrical and Electronics Engineers Inc. 2021
• オンライン･アクセス: http://scholars.utp.edu.my/id/eprint/33452/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126971116&doi=10.1109%2fNICS54270.2021.9701455&partnerID=40&md5=37e4cce6662becf0ffaf91d5fcea820c

Heart disease risk prediction is very important as it is one of the primary causes of sudden death in the world. Early-stage prediction can save the lives by undergoing appropriate diagnosis steps or making necessary changes in their lifestyles. Recent studies have focused on the use of data mining...