Predicting depression risk with machine learning models: identifying familial, personal, and dietary determinants

Authors

Qiang Zheng (ORCID: https://orcid.org/0000-0002-6057-8141)
Yankai Dong (ORCID: https://orcid.org/0009-0007-7052-8424)
Jinyang Li (ORCID: https://orcid.org/0000-0002-5904-3094)
Chengpu Lu
H.L. Wen

Institutions

Lishui University (CN)

Publication Details

Journal: BMC Psychiatry
Published: 2025-09-30
DOI: https://doi.org/10.1186/s12888-025-07182-8
Citations: 2
Primary Topic: Nutritional Studies and Diet
Type: article
Field-Weighted Citation Impact: 3.76

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article

Predicting depression risk with machine learning models: identifying familial, personal, and dietary determinants

Qiang Zheng, Yankai Dong, Jinyang Li, Chengpu Lu et al.

Sep 30, 2025

2 citations

BMC Psychiatry

Nutritional Studies and Diet

3.76

article

Predicting depression risk with machine learning models: identifying familial, personal, and dietary determinants

Qiang Zheng, Yankai Dong, Jinyang Li, Chengpu Lu, H.L. Wen

September 30, 2025article en

2 citations

Abstract

No abstract available for this paper.

BMC PsychiatryVol. 25(1)

Lishui University (CN)

Openalex Percentile: Top 6%

Nutritional Studies and Diet

3.76

DOI Open Access PDF OpenAlex

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Predicting depression risk with machine learning models: identifying familial, personal, and dietary determinants — Qiang Zheng, Yankai Dong, et al. · BMC Psychiatry (2025) | TGRS Research Map | TGRS