Machine learning outperforms traditional logistic regression and offers new possibilities for cardiovascular risk prediction: A study involving 143,043 Chinese patients with hypertension

INTRODUCTION: Identifying people at risk of cardiovascular diseases (CVD) is a cornerstone of preventive cardiology. We developed machine learning (ML) algorithms and investigated their performance in predicting patients’ current CVD risk (coronary heart disease and stroke in this study). MATERIALS...

Descripción completa

Detalles Bibliográficos
Autores principales: Xi, Yang, Wang, Hongyi, Sun, Ningling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701715/
https://www.ncbi.nlm.nih.gov/pubmed/36451926
http://dx.doi.org/10.3389/fcvm.2022.1025705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701715/
https://www.ncbi.nlm.nih.gov/pubmed/36451926
http://dx.doi.org/10.3389/fcvm.2022.1025705

Ejemplares similares