Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly patients with cardiovascular metabolic diseases in China: a longitudinal study

This study developed a depression risk prediction model based on logistic regression, providing important references for psychological health interventions in middle-aged and elderly patients with CMD. Identifying and intervening in high-risk populations is crucial for improving patients' quality of life.

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Publication Details

Journal
BMC Public Health
Published
2025-05-23
DOI
https://doi.org/10.1186/s12889-025-23075-7
Citations
5
Primary Topic
Cardiac Health and Mental Health
Type
article
Field-Weighted Citation Impact
6.94

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article

Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly patients with cardiovascular metabolic diseases in China: a longitudinal study

Gege Zhang, Shushan Dong, Li Wang
5 citations
BMC Public Health
Cardiac Health and Mental Health
6.94
article

Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly patients with cardiovascular metabolic diseases in China: a longitudinal study

Gege Zhang, Shushan Dong, Li Wang
article en
5 citations

Abstract

This study developed a depression risk prediction model based on logistic regression, providing important references for psychological health interventions in middle-aged and elderly patients with CMD. Identifying and intervening in high-risk populations is crucial for improving patients' quality of life.

BMC Public HealthVol. 25(1)
Xuzhou Medical College (CN)
Peking University
Openalex Percentile: Top 3%
Cardiac Health and Mental Health
6.94
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