Cardiovascular Disease Risk Prediction Utilizing Two-Tier Classification Framework Optimized with Adapted Variable Neighborhood Search Algorithm

Accurately assessing a patient’s likelihood of developing cardiovascular conditions is essential for proper case classification and for ensuring timely, targeted medical intervention. To address this need, the present study employs a carefully optimized machine learning framework to predict such ris...

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Detalhes bibliográficos

Principais autores:	Saramma John Villoth, Petar Dabic, Tamara Zivkovic, Miodrag Zivkovic, Svetlana Andjelic, Milos Mravik, Vladimir Simic, Mahmoud Abdel-Salam, Nebojsa Bacanin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-02-01
Colecção:	Algorithms
Assuntos:	cardiovascular diseases risk prediction classification CNN CatBoost LightGBM
Acesso em linha:	https://www.mdpi.com/1999-4893/19/2/130
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