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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Bibliographic Details
Published in:	IEEE Access
Main Authors:	Sushree Chinmayee Patra, B. Uma Maheswari, Peeta Basa Pati
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Accuracy ensemble learning feature weighted meta-models F1 score feature importance feature optimization
Online Access:	https://ieeexplore.ieee.org/document/10336765/

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