Showing results (1-10 of 14) with videos related to
Sort By:
Pageof 2
Journal of Personalized Medicine|April 23, 2022
The Effectiveness of Predicting Suicidal Ideation through Depressive Symptoms and Social Isolation Using Machine Learning TechniquesSunhae Kim, Kounseok LeePsychiatry Research|August 27, 2025
Machine learning-based prediction of suicide risk using adult attention-deficit/hyperactivity disorder symptoms and depression indicators: insights from a nationally representative south korean surveySunhae Kim, Kounseok LeeNeuropsychiatric Disease and Treatment|December 1, 2021
Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning MethodsSunhae Kim, Kounseok LeeJournal of Personalized Medicine|May 28, 2022
A Network Analysis of Depressive Symptoms in the Elderly with Subjective Memory ComplaintsSunhae Kim, Kounseok LeeJournal of Clinical Medicine|April 23, 2022
The Relationships between Abnormal Serum Lipid Levels, Depression, and Suicidal Ideation According to SexKounseok Lee, Sunhae Kim, Jung Ki JoJournal of Personalized Medicine|August 27, 2021
Screening of Mood Symptoms Using MMPI-2-RF Scales: An Application of Machine Learning TechniquesSunhae Kim, Hye-Kyung Lee, Kounseok LeeScientific Reports|July 29, 2021
Detecting suicidal risk using MMPI-2 based on machine learning algorithmSunhae Kim, Hye-Kyung Lee, Kounseok LeeDiagnostics (Basel, Switzerland)|June 2, 2021
Can the MMPI Predict Adult ADHD? An Approach Using Machine Learning MethodsSunhae Kim, Hye-Kyung Lee, Kounseok LeeBMC Psychiatry|February 28, 2020
Assessment of suicidal risk using Minnesota multiphasic personality inventory-2 restructured formSunhae Kim, Hye-Kyung Lee, Kounseok LeeInternational Journal of Environmental Research and Public Health|April 3, 2021
Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning ApproachesSunhae Kim, Hye-Kyung Lee, Kounseok LeePageof 2