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

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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Bibliographic Details
Main Authors: Tao Shen, Dan Liu, Zi Lin, Chuan Ren, Wei Zhao, Wei Gao
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Clinical Medicine
Subjects:
coronary heart disease
cardiopulmonary exercise testing
exercise safety
exercise risk precaution
machine learning
Online Access:https://www.mdpi.com/2077-0383/11/20/6061

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