A novel machine learning-based prediction method for patients at risk of developing depressive symptoms using a small data

Minyoung Yun; Minjeong Jeon; Heyoung Yang

doi:10.1371/journal.pone.0303889

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Open Access

Peer-reviewed

Research Article

A novel machine learning-based prediction method for patients at risk of developing depressive symptoms using a small data

Minyoung Yun,

Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

Affiliations Center for R&D Investment and Strategy Research, Korea Institute of Science and Technology Information, Seoul, Korea, École nationale supérieure d’Arts et Métiers, Paris, France
⨯
Minjeong Jeon,

Roles Conceptualization, Data curation, Investigation, Writing – review & editing

Affiliation School of Education & Information Studies, University of California, Los Angeles, Los Angeles, LA, United States of America
⨯
Heyoung Yang

Roles Conceptualization, Investigation, Methodology, Project administration, Validation, Writing – original draft, Writing – review & editing

* E-mail: hyyang@kisti.re.kr

Affiliation Center for Future Technology Analysis, Korea Institute of Science and Technology Information, Seoul, Korea

https://orcid.org/0000-0002-7960-4389

⨯

A novel machine learning-based prediction method for patients at risk of developing depressive symptoms using a small data

Minyoung Yun,
Minjeong Jeon,
Heyoung Yang

Published: May 22, 2024
https://doi.org/10.1371/journal.pone.0303889

About the Authors

Minyoung Yun

Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing

Affiliations Center for R&D Investment and Strategy Research, Korea Institute of Science and Technology Information, Seoul, Korea, École nationale supérieure d’Arts et Métiers, Paris, France

Minjeong Jeon

Roles Conceptualization, Data curation, Investigation, Writing – review & editing

Affiliation School of Education & Information Studies, University of California, Los Angeles, Los Angeles, LA, United States of America

Heyoung Yang

Roles Conceptualization, Investigation, Methodology, Project administration, Validation, Writing – original draft, Writing – review & editing

* E-mail: hyyang@kisti.re.kr

Affiliation Center for Future Technology Analysis, Korea Institute of Science and Technology Information, Seoul, Korea

https://orcid.org/0000-0002-7960-4389

Competing Interests

The authors have declared that no competing interests exist.

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Depression
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Biomarkers
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Forecasting
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Machine learning
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Deep learning
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Machine learning algorithms
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Medical risk factors
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Mental health and psychiatry
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