Graph Machine Learning With Systematic Hyper-Parameter Selection on Hidden Networks and Mental Health Conditions in the Middle-Aged and Old

Improving an individual's life satisfaction as a personal condition is expected to strengthen the individual's emotional connection as a group interaction, which would reduce the risk of the individual's mental disease in the end. This would bring an important clinical implication for highlighting the importance of a patient's life satisfaction and emotional connection regarding the diagnosis and management of the patient's mental disease.

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Publication Details

Journal
Psychiatry Investigation
Published
2024-12-24
DOI
https://doi.org/10.30773/pi.2024.0249
Citations
1
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.51

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article

Graph Machine Learning With Systematic Hyper-Parameter Selection on Hidden Networks and Mental Health Conditions in the Middle-Aged and Old

Kwang‐Sig Lee, Byung‐Joo Ham
1 citations
Psychiatry Investigation
Mental Health Research Topics
0.51
article

Graph Machine Learning With Systematic Hyper-Parameter Selection on Hidden Networks and Mental Health Conditions in the Middle-Aged and Old

Kwang‐Sig Lee, Byung‐Joo Ham
article en
1 citations

Abstract

Improving an individual's life satisfaction as a personal condition is expected to strengthen the individual's emotional connection as a group interaction, which would reduce the risk of the individual's mental disease in the end. This would bring an important clinical implication for highlighting the importance of a patient's life satisfaction and emotional connection regarding the diagnosis and management of the patient's mental disease.

Psychiatry InvestigationVol. 21(12)
Korea University (JP)
National Research Foundation, Ministry of Health and Welfare, Korea Health Industry Development Institute, National Research Foundation of Korea, Ministry of Education, Science and Technology
No poverty
Openalex Percentile: Top 27%
Mental Health Research Topics
0.51
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