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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 58; no. 12; pp. 3123 - 3141 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
2020
|
| Acceso en línea: | Ver este registro en EBSCOhost |