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

Sang-Min Nam Thomas A Peterson Kyoung Yul Seo Hyun Wook Han Jee In Kang

Published in: Journal of medical Internet research (2021)

XGBoost and network analysis were useful to discover depression-related factors and their relationships and can be applied to epidemiological studies using big survey data.

Keyphrases

network analysis
depressive symptoms
big data
cross sectional
sleep quality
small molecule
electronic health record
high throughput
machine learning