A Machine Learning Model to Predict Cardiovascular Events during Exercise Evaluation in Patients with Coronary Heart Disease

Objective: To develop and optimize a machine learning prediction model for cardiovascular events during exercise evaluation in patients with coronary heart disease (CHD). Methods: 16,645 cases of cardiopulmonary exercise testing (CPET) conducted in patients with CHD from January 2016 to September 20...

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Detalles Bibliográficos
Autores principales: Shen, Tao, Liu, Dan, Lin, Zi, Ren, Chuan, Zhao, Wei, Gao, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605581/
https://www.ncbi.nlm.nih.gov/pubmed/36294382
http://dx.doi.org/10.3390/jcm11206061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605581/
https://www.ncbi.nlm.nih.gov/pubmed/36294382
http://dx.doi.org/10.3390/jcm11206061

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