Revolutionizing Cardiac Risk Assessment: AI-Powered Patient Segmentation Using Advanced Machine Learning Techniques

Cardiovascular diseases stand as the leading cause of mortality worldwide, underscoring the urgent need for effective tools that enable early detection and monitoring of at-risk patients. This study combines Artificial Intelligence (AI) techniques—specifically the k-means clustering algorithm—alongs...

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Autores principales:	Joan D. Gonzalez-Franco, Alejandro Galaviz-Mosqueda, Salvador Villarreal-Reyes, Jose E. Lozano-Rizk, Raul Rivera-Rodriguez, Jose E. Gonzalez-Trejo, Alexei-Fedorovish Licea-Navarro, Jorge Lozoya-Arandia, Edgar A. Ibarra-Flores
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-05-01
Colección:	Machine Learning and Knowledge Extraction
Materias:	artificial intelligence k-means clustering heart attacks dimensionality reduction troponin patient segmentation
Acceso en línea:	https://www.mdpi.com/2504-4990/7/2/46
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