Prediction of depressive disorder using machine learning approaches: findings from the NHANES

Abstract Background Depressive disorder, particularly major depressive disorder (MDD), significantly impact individuals and society. Traditional analysis methods often suffer from subjectivity and may not capture complex, non-linear relationships between risk factors. Machine learning (ML) offers a...

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Bibliographic Details
Main Authors:	Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki
Format:	Article
Language:	English
Published:	BMC 2025-02-01
Series:	BMC Medical Informatics and Decision Making
Subjects:	Depression Depressive disorder Supervised machine learning Logistic regression Random forest Naïve bayes
Online Access:	https://doi.org/10.1186/s12911-025-02903-1
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Prediction of depressive disorder using machine learning approaches: findings from the NHANES

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