Machine learning prediction of depression in culturally diverse families: Findings from the Korea Community Health Survey

By conducting a comprehensive analysis of multidimensional indices, this study offers a multifaceted perspective on depression in culturally diverse families.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-09-18
DOI
https://doi.org/10.3389/fpubh.2025.1666084
Citations
1
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
2.82

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article

Machine learning prediction of depression in culturally diverse families: Findings from the Korea Community Health Survey

Miran Jung, Geun Myun Kim, Sunkyung Cha, Seong Kwang Kim
1 citations
Frontiers in Public Health
Health and Wellbeing Research
2.82
article

Machine learning prediction of depression in culturally diverse families: Findings from the Korea Community Health Survey

Miran Jung, Geun Myun Kim, Sunkyung Cha, Seong Kwang Kim
article en
1 citations

Abstract

By conducting a comprehensive analysis of multidimensional indices, this study offers a multifaceted perspective on depression in culturally diverse families.

Frontiers in Public HealthVol. 13
Gangneung–Wonju National University (KR), Baekseok University (KR), Sun Moon University (KR)
Korea Disease Control and Prevention Agency, National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 8%
Health and Wellbeing Research
2.82
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