Psychiatry Investigation

Health and Family Factors Predicting Suicidal Ideation Among Middle-Aged Korean Adults: An Explainable Machine Learning Approach: Hyeon-gyeong Jo, Hae-Young Kim, Ki-Bong Choi, Young-Sun Kim, Young-Bin Seo, HoJung Ahn, Sunmi Song, Junesun Kim; Psychiatry Investig. 2026;23(1):164-171. Published online January 2, 2026; DOI: https://doi.org/10.30773/pi.2025.0182; PDF

Predicting Treatment Response in Female Adolescents With Non-Suicidal Self-Injury Using Neurophysiological Biomarkers and Machine Learning: Seng Yoon Kim, Jun Won Kim; Psychiatry Investig. 2026;23(1):63-70. Published online December 18, 2025; DOI: https://doi.org/10.30773/pi.2025.0256; Full text PubReader ePub PDF Supplementary Materials

Exploring Informative Items for Bipolar Disorder Classification Using Machine Learning With Anger Coping Styles in Combination With the Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale: Kyungwon Kim, Eunsoo Moon, Hyunju Lim, Hyunji Lee, Hwagyu Suh, Young Min Lee, Byung Dae Lee; Psychiatry Investig. 2025;22(12):1430-1441. Published online December 4, 2025; DOI: https://doi.org/10.30773/pi.2025.0108; Full text PubReader ePub PDF

Optimizing Suicide Risk Prediction in Korea: A Comparison of Model Performance Using Resampling Methods and Machine Learning Algorithms: Eunji Lim, Bong-Jo Kim, Boseok Cha, So-Jin Lee, Jae-Won Choi, Nuree Kang, Soyoung Park, Sung Hyo Seo, Dongyun Lee; Psychiatry Investig. 2025;22(11):1309-1318. Published online November 12, 2025; DOI: https://doi.org/10.30773/pi.2025.0187; Full text PubReader ePub PDF Supplementary Materials

Predicting Efficacy of Virtual Reality-Based Stabilization for Individuals With Posttraumatic Stress Symptoms: A Machine Learning Approach: Yongmin Shin, Euijin Kim, Kibum Kim, Ji Sun Kim, Sungkean Kim, Bin-Na Kim; Psychiatry Investig. 2025;22(10):1178-1190. Published online October 2, 2025; DOI: https://doi.org/10.30773/pi.2025.0168; Full text PubReader ePub PDF Supplementary Materials

Contribution of Chronic Disease in Predicting Depression and Suicidal Ideation Among the Older Adult Population: Youngbin Seo, Hae-Young Kim, KiBong Choi, Sunmi Song, Junesun Kim; Psychiatry Investig. 2025;22(9):1068-1076. Published online August 21, 2025; DOI: https://doi.org/10.30773/pi.2024.0106; Full text PubReader ePub PDF Supplementary Materials

Predicting 5-Year Survival and Mortality in Dementia Patients: A Data-Driven Approach Using XGBoost for Enhanced Care and Resource Allocation: Yi-Guang Wang, Hsin-An Chang, Mu-Hong Chen, Nian-Sheng Tzeng, Jin Narumoto, Chih-Sung Liang, Ta-Chuan Yeh; Psychiatry Investig. 2025;22(9):1057-1067. Published online September 1, 2025; DOI: https://doi.org/10.30773/pi.2024.0351; Full text PubReader ePub PDF

Machine Learning Prediction of Attachment Type From Bio-Psychological Factors in Patients With Depression: Yoon Jae Cho, Jin Sun Ryu, Jeong-Ho Seok, Eunjoo Kim, Jooyoung Oh, Byung-Hoon Kim; Psychiatry Investig. 2025;22(4):412-423. Published online April 11, 2025; DOI: https://doi.org/10.30773/pi.2024.0392
Web of Science 1 Crossref 1; Full text PubReader ePub PDF Supplementary Materials

The Clinical Utility of Biomarkers in Diagnosing Major Depressive Disorder in Adults: A Systematic Review of Literature From 2013 to 2023: Shi-han Ang, Roger C. Ho, Roger S. McIntyre, Zhisong Zhang, Soon-kiat Chang, Kayla M. Teopiz, Cyrus SH Ho; Psychiatry Investig. 2025;22(4):341-356. Published online April 11, 2025; DOI: https://doi.org/10.30773/pi.2024.0152
Web of Science 1 Crossref 1; Full text PubReader ePub PDF Supplementary Materials

Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study: Xing-Xuan Dong, Jian-Hua Liu, Tian-Yang Zhang, Chen-Wei Pan, Chun-Hua Zhao, Yi-Bo Wu, Dan-Dan Chen; Psychiatry Investig. 2025;22(3):267-278. Published online March 18, 2025; DOI: https://doi.org/10.30773/pi.2024.0156
Web of Science 1; Full text PubReader ePub PDF Supplementary Materials

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; Psychiatry Investig. 2024;21(12):1382-1390. Published online December 23, 2024; DOI: https://doi.org/10.30773/pi.2024.0249
Web of Science 1 Crossref 1; Full text PubReader ePub PDF

Simultaneous Utilization of Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale for Machine Learning-Based Classification of Patients With Bipolar Disorders and Depressive Disorders: Kyungwon Kim, Hyun Ju Lim, Je-Min Park, Byung-Dae Lee, Young-Min Lee, Hwagyu Suh, Eunsoo Moon; Psychiatry Investig. 2024;21(8):877-884. Published online August 2, 2024; DOI: https://doi.org/10.30773/pi.2023.0361
Web of Science 4 Crossref 5; Full text PubReader ePub PDF

Classification of Mild Cognitive Impairment Using Functional Near-Infrared Spectroscopy-Derived Biomarkers With Convolutional Neural Networks: Jin-Hyuck Park; Psychiatry Investig. 2024;21(3):294-299. Published online March 25, 2024; DOI: https://doi.org/10.30773/pi.2023.0409
Web of Science 1 Crossref 1; Full text PubReader ePub PDF

Relationships of Antidepressant Medication With Its Various Factors Including Nitrogen Dioxides Seasonality: Machine Learning Analysis Using National Health Insurance Data: Kwang-Sig Lee, Hae-In Kim, Byung-Joo Ham; Psychiatry Investig. 2023;20(6):515-523. Published online May 30, 2023; DOI: https://doi.org/10.30773/pi.2022.0352
Web of Science 1 Crossref 1; Full text PubReader ePub PDF

Target Discovery Using Deep Learning-Based Molecular Docking and Predicted Protein Structures With AlphaFold for Novel Antipsychotics: Yangsik Kim, Seyong Kim; Psychiatry Investig. 2023;20(6):504-514. Published online May 30, 2023; DOI: https://doi.org/10.30773/pi.2022.0343
Web of Science 3 Crossref 3; Full text PubReader ePub PDF Supplementary Materials

Search