Heart Disease Risk Prediction using Machine Learning with Principal Component Analysis
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...
| Main Authors: | Reddy, K.V.V., Elamvazuthi, I., Aziz, A.A., Paramasivam, S., Chua, H.N. |
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| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29213 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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| 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/ |
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