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Machine Learning in Cardiovascular Risk Diagnosis: -Neuro-Fuzzy Based Atherosclerotic-CV Risk Prediction Model Using Non-Traditional US Image Markers - Tapa blanda

Paul, Paulin; B. Shan, Priestly; Kurian, Babymol

 
9786208415525: Machine Learning in Cardiovascular Risk Diagnosis: -Neuro-Fuzzy Based Atherosclerotic-CV Risk Prediction Model Using Non-Traditional US Image Markers
Tapa blanda
ISBN 10: 6208415527 ISBN 13: 9786208415525
Editorial: LAP LAMBERT Academic Publishing, 2025

Sinopsis

Accurate quantification of ASCVD risk is essential for early and effective cardiovascular risk management. Conventional models rely solely on traditional risk factors (TRFs). These often fail to incorporate newer, non-traditional risk variables, leading to potential underestimation or overestimation of risk, especially across diverse ethnic populations. This book introduces a novel machine learning (ML)-based framework that integrates TRFs with non-traditional ultrasound-based markers like carotid intima-media thickness (cIMT) and carotid plaque (cP) features, to enhance the predictive accuracy. It covers the development of a diagnostic architecture that uses hybrid intelligent models optimized using different Meta-heuristic algorithms. The chosen framework has the advantage due to the ability to include additional newer risk variables without methodological reconstruction and thereby contribute to the development of reliable, efficient, and customizable solutions for ASCVD risk prediction in public healthcare settings.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2025
Idioma
Inglés
ISBN 10 
6208415527
ISBN 13 
9786208415525
Encuadernación
Tapa blanda
Número de páginas
316
Contacto del fabricante
no disponible
Persona responsable
no disponible