An evolutionary machine learning algorithm for cardiovascular disease risk prediction

INTRODUCTION: This study developed a novel risk assessment model to predict the occurrence of cardiovascular disease (CVD) events. It uses a Genetic Algorithm (GA) to develop an easy-to-use model with high accuracy, calibrated based on the Isfahan Cohort Study (ICS) database. METHODS: The ICS was a...

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Detalles Bibliográficos
Autores principales: Ordikhani, Mohammad, Saniee Abadeh, Mohammad, Prugger, Christof, Hassannejad, Razieh, Mohammadifard, Noushin, Sarrafzadegan, Nizal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333440/
https://www.ncbi.nlm.nih.gov/pubmed/35901181
http://dx.doi.org/10.1371/journal.pone.0271723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333440/
https://www.ncbi.nlm.nih.gov/pubmed/35901181
http://dx.doi.org/10.1371/journal.pone.0271723

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