Develop and validate machine learning models to predict the risk of depressive symptoms in older adults with cognitive impairment

Develop and validate machine learning models to predict the risk of depressive symptoms in older adults with cognitive impairment

Abstract Background Cognitive impairment and depressive symptoms are prevalent and closely interrelated mental health issues in the elderly. Traditional methods for identifying depressive symptoms in this population often lack effectiveness. Machine learning provides a promising alternative for deve...

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Bibliographic Details
Main Authors: Enguang Li, Fangzhu Ai, Qingyan Tian, Haocheng Yang, Ping Tang, Botang Guo
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Psychiatry
Subjects:
Depressive symptoms
Cognitive impairment
NHANES
Machine learning
Older adults
Online Access:https://doi.org/10.1186/s12888-025-06657-y
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https://doi.org/10.1186/s12888-025-06657-y

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