Forecasting Coronary Heart Disease Risk With a 2-Step Hybrid Ensemble Learning Method and Forward Feature Selection Algorithm

Detecting cardiovascular irregularities in a timely manner is crucial for preventing any fatal risks. This research aims to devise an efficient forecasting algorithm for the timely prognosis of Coronary Heart Disease (CHD). The study includes a diverse sample of individuals from Framingham, Massachu...

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書誌詳細

出版年:	IEEE Access
主要な著者:	Sushree Chinmayee Patra, B. Uma Maheswari, Peeta Basa Pati
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2023-01-01
主題:	Accuracy ensemble learning feature weighted meta-models F1 score feature importance feature optimization
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10336765/