An Efficient Prediction System for Coronary Heart Disease Risk Using Selected Principal Components and Hyperparameter Optimization
Medical science-related studies have reinforced that the prevalence of coronary heart disease which is associated with the heart and blood vessels has been the most significant cause of health loss and death globally. Recently, data mining and machine learning have been used to detect diseases based...
Saved in:
Main Authors: | Reddy, K.V.V., Elamvazuthi, I., Aziz, A.A., Paramasivam, S., Chua, H.N., Pranavanand, S. |
---|---|
格式: | Article |
出版: |
2023
|
在线阅读: | http://scholars.utp.edu.my/id/eprint/34289/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145698341&doi=10.3390%2fapp13010118&partnerID=40&md5=5d7a120d188f59249e86e5557a9151b4 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Heart Disease Risk Prediction using Machine Learning with Principal Component Analysis
由: Reddy, K.V.V., et al.
出版: (2021) -
Prediction of Heart Disease Risk Using Machine Learning with Correlation-based Feature Selection and Optimization Techniques
由: Reddy, K.V.V., et al.
出版: (2021) -
Heart Disease Risk Prediction using Hyperparameter Optimized
Machine Learning with Principal Component Transformed Features
由: KARNA, VISHNU VARDHANA REDDY
出版: (2023) -
Rotation Forest Ensemble Classifier to Improve the Cardiovascular Disease Risk Prediction Accuracy
由: Reddy, K.V.V., et al.
出版: (2021) -
Online adaptive coronary heart disease risk prediction model
由: Lam, Jostinah, et al.
出版: (2017)