Heart Disease Risk Prediction using Machine Learning with Principal Component Analysis

• Main Authors: Reddy, K.V.V., Elamvazuthi, I., Aziz, A.A., Paramasivam, S., Chua, H.N.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124135402&doi=10.1109%2fICIAS49414.2021.9642676&partnerID=40&md5=9a485af555a98a87391999219dda3377; http://eprints.utp.edu.my/29213/

Cardiovascular diseases (CVDs) are killing about 17.9 million people every year. Early prediction can help people to change their lifestyles and to endure proper medical treatment if necessary. The data available in the healthcare sector is very useful to predict whether a patient will have a diseas...