Identifying High-Risk Factors of Depression in Middle-Aged Persons with a Novel Sons and Spouses Bayesian Network Model

Identifying High-Risk Factors of Depression in Middle-Aged Persons with a Novel Sons and Spouses Bayesian Network Model

It has been reported repeatedly that depression in middle-aged people may cause serious ramifications in public health. However, previous studies on this important research topic have focused on utilizing either traditional statistical methods (i.e., logistic regressions) or black-or-gray artificial...

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Bibliographic Details
Main Authors: Francis Joseph Costello, Cheong Kim, Chang Min Kang, Kun Chang Lee
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Healthcare
Subjects:
depression
health informatics
Bayesian network
genetic algorithm
machine learning
KNHANES
Online Access:https://www.mdpi.com/2227-9032/8/4/562

Internet

https://www.mdpi.com/2227-9032/8/4/562

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