Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study

Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study

Abstract Background Vascular depression (VaDep) is a prevalent affective disorder in older adults that significantly impacts functional status and quality of life. Early identification and intervention are crucial but largely insufficient in clinical practice due to inconspicuous depressive symptoms...

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Main Authors: Ran Zhang, Tian Li, Fan Fan, Haoying He, Liuyi Lan, Dong Sun, Zhipeng Xu, Sisi Peng, Jing Cao, Juan Xu, Xiaoxiang Peng, Ming Lei, Hao Song, Junjian Zhang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medicine
Subjects:
Vascular depression
Late-life depression
Machine learning
Light Gradient Boosting Machine
White matter hyperintensity
Online Access:https://doi.org/10.1186/s12916-025-04283-9
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https://doi.org/10.1186/s12916-025-04283-9

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