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) machine learni...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
JMIR Publications,
2021-06-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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