Machine learning and SHAP-based interpretation of dietary antioxidants’ impact on comorbid MDD and suicidal ideation

The RF model exhibited superior predictive capability for comorbid MDD and SI. SHAP analysis highlighted the critical roles of dietary antioxidants, particularly vitamin C and kaempferol, in predicting these outcomes.

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Publication Details

Journal
Journal of Affective Disorders
Published
2026-01-26
DOI
https://doi.org/10.1016/j.jad.2026.121252
Primary Topic
Tryptophan and brain disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine learning and SHAP-based interpretation of dietary antioxidants’ impact on comorbid MDD and suicidal ideation

Ting Fa Margherita Chang, Jintao Wang, Zhiwei Xu, Yajing Li et al.
Journal of Affective Disorders
Tryptophan and brain disorders
article

Machine learning and SHAP-based interpretation of dietary antioxidants’ impact on comorbid MDD and suicidal ideation

Ting Fa Margherita Chang, Jintao Wang, Zhiwei Xu, Yajing Li, Hongling Jia
article en

Abstract

The RF model exhibited superior predictive capability for comorbid MDD and SI. SHAP analysis highlighted the critical roles of dietary antioxidants, particularly vitamin C and kaempferol, in predicting these outcomes.

Journal of Affective DisordersVol. 401
Shandong University of Traditional Chinese Medicine (CN), China-Japan Friendship Hospital (CN), Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
Zero hunger
Openalex Percentile: Top 77%
Tryptophan and brain disorders
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