Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms

Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms

BackgroundDepression is being increasingly acknowledged as an important risk factor contributing to coronary heart disease (CHD). Currently, there is no predictive model specifically designed to evaluate the risk of coronary heart disease among individuals with depression. We aim to develop a machin...

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Bibliographic Details
Main Authors: Yicheng Wang, Chuan-Yang Wu, Hui-Xian Fu, Jian-Cheng Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
depression
machine learning
prediction model
coronary heart disease
National Health and Nutrition Examination Survey (NHANES)
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2024.1504957/full
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