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Sang Jin Rhee

Showing results (11-20 of 65) with videos related to

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Journal of Korean Medical Science|August 5, 2025
Non-Suicidal Self-Injury and Exercise: Associations With AddictionHan-Sung Lee, Sang Jin Rhee, Dae Hun Kang, et al.
Journal of Psychosomatic Research|October 9, 2023
The association between insulin resistance and depressive symptoms - A national representative cross-sectional studySang Jin Rhee, Sooyeon Min, Minseok Hong, et al.
Journal of Psychosomatic Research|January 19, 2019
Longitudinal study of the relationship between lower urinary tract symptoms and depressive symptomsSang Jin Rhee, Eun Young Kim, Soo Woong Kim, et al.
Journal of Affective Disorders|October 14, 2018
The relationship between visceral adiposity and depressive symptoms in the general Korean populationSung Joon Cho, Hyun Jeong Lee, Sang Jin Rhee, et al.
JMIR Medical Informatics|December 4, 2025
Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Machine Learning Model Development and Interpretation StudySooyeon Min, Tae-Sung Yeum, Daun Shin, et al.
Scientific Reports|July 8, 2021
The association between serum microbial DNA composition and symptoms of depression and anxiety in mood disordersSang Jin Rhee, Hyeyoung Kim, Yunna Lee, et al.
Asian Journal of Psychiatry|January 15, 2025
Suicide prevention strategies in South Korea: What we have learned and the way forwardDae Hun Kang, Andrea Horvath Marques, Jeong Hun Yang, et al.
Comprehensive Psychiatry|July 17, 2021
The influence of poverty attribution on attitudes toward suicide and suicidal thought: A cross-national comparison between South Korean, Japanese, and American populationsHyunju Lee, C Hyung Keun Park, Sang Jin Rhee, et al.
Progress in Neuro-Psychopharmacology & Biological Psychiatry|July 1, 2014
Subjective depressive symptoms and metabolic syndrome among the general populationSang Jin Rhee, Eun Young Kim, Se Hyun Kim, et al.
JMIR Medical Informatics|July 17, 2020
Identifying the Medical Lethality of Suicide Attempts Using Network Analysis and Deep Learning: Nationwide StudyBora Kim, Younghoon Kim, C Hyung Keun Park, et al.
Pageof 7

Showing results (11-20 of 65) with videos related to

Sort By:
Pageof 7
Journal of Korean Medical Science|August 5, 2025
Non-Suicidal Self-Injury and Exercise: Associations With AddictionHan-Sung Lee, Sang Jin Rhee, Dae Hun Kang, et al.
Journal of Psychosomatic Research|October 9, 2023
The association between insulin resistance and depressive symptoms - A national representative cross-sectional studySang Jin Rhee, Sooyeon Min, Minseok Hong, et al.
Journal of Psychosomatic Research|January 19, 2019
Longitudinal study of the relationship between lower urinary tract symptoms and depressive symptomsSang Jin Rhee, Eun Young Kim, Soo Woong Kim, et al.
Journal of Affective Disorders|October 14, 2018
The relationship between visceral adiposity and depressive symptoms in the general Korean populationSung Joon Cho, Hyun Jeong Lee, Sang Jin Rhee, et al.
JMIR Medical Informatics|December 4, 2025
Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Machine Learning Model Development and Interpretation StudySooyeon Min, Tae-Sung Yeum, Daun Shin, et al.
Scientific Reports|July 8, 2021
The association between serum microbial DNA composition and symptoms of depression and anxiety in mood disordersSang Jin Rhee, Hyeyoung Kim, Yunna Lee, et al.
Asian Journal of Psychiatry|January 15, 2025
Suicide prevention strategies in South Korea: What we have learned and the way forwardDae Hun Kang, Andrea Horvath Marques, Jeong Hun Yang, et al.
Comprehensive Psychiatry|July 17, 2021
The influence of poverty attribution on attitudes toward suicide and suicidal thought: A cross-national comparison between South Korean, Japanese, and American populationsHyunju Lee, C Hyung Keun Park, Sang Jin Rhee, et al.
Progress in Neuro-Psychopharmacology & Biological Psychiatry|July 1, 2014
Subjective depressive symptoms and metabolic syndrome among the general populationSang Jin Rhee, Eun Young Kim, Se Hyun Kim, et al.
JMIR Medical Informatics|July 17, 2020
Identifying the Medical Lethality of Suicide Attempts Using Network Analysis and Deep Learning: Nationwide StudyBora Kim, Younghoon Kim, C Hyung Keun Park, et al.
Pageof 7