Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis

Discovery of Depression-Associated Factors From a Nationwide Population-Based Survey: Epidemiological Study Using Machine Learning and Network Analysis

BackgroundIn epidemiological studies, finding the best subset of factors is challenging when the number of explanatory variables is large. ObjectiveOur study had two aims. First, we aimed to identify essential depression-associated factors using the extreme gradient boosting (XGBoost) ma...

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Bibliographic Details
Main Authors: Sang Min Nam, Thomas A Peterson, Kyoung Yul Seo, Hyun Wook Han, Jee In Kang
Format: Article
Language:English
Published: JMIR Publications 2021-06-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/6/e27344

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