Feature selection and risk prediction for patients with coronary artery disease using data mining.
Coronary artery disease (CAD) is an important cause of mortality across the globe. Early risk prediction of CAD would be able to reduce the death rate by allowing early and targeted treatments. In healthcare, some studies applied data mining techniques and machine learning algorithms on the risk pre...
| Published in: | Medical & Biological Engineering & Computing Vol. 58; no. 12; pp. 3123 - 3141 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
2020
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| Online Access: | View this record in EBSCOhost |