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

BACKGROUND: In epidemiological studies, finding the best subset of factors is challenging when the number of explanatory variables is large. OBJECTIVE: Our study had two aims. First, we aimed to identify essential depression-associated factors using the extreme gradient boosting (XGBoost) machine le...

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Detalles Bibliográficos
Autores principales: Nam, Sang Min, Peterson, Thomas A, Seo, Kyoung Yul, Han, Hyun Wook, Kang, Jee In
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277318/
https://www.ncbi.nlm.nih.gov/pubmed/34184998
http://dx.doi.org/10.2196/27344

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8277318/
https://www.ncbi.nlm.nih.gov/pubmed/34184998
http://dx.doi.org/10.2196/27344

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