Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data

Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data

This study uses machine learning and population data to analyze major determinants of preterm birth including depression and particulate matter. Retrospective cohort data came from Korea National Health Insurance Service claims data for 405,586 women who were aged 25–40 years and gave births for the...

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Bibliographic Details
Main Authors: Kwang-Sig Lee, Hae-In Kim, Ho Yeon Kim, Geum Joon Cho, Soon Cheol Hong, Min Jeong Oh, Hai Joong Kim, Ki Hoon Ahn
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Diagnostics
Subjects:
preterm birth
particulate matter
depression
Online Access:https://www.mdpi.com/2075-4418/11/3/555

Internet

https://www.mdpi.com/2075-4418/11/3/555

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