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Journal of Affective Disorders
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April 7, 2022
Prediction of suicidal ideation in shift workers compared to non-shift workers using machine learning techniques
Hwanjin Park, Kounseok Lee
Journal of Affective Disorders
|
June 17, 2021
The relationship between metabolically healthy obesity and suicidal ideation
Hwanjin Park, Kounseok Lee
Journal of Personalized Medicine
|
April 23, 2022
The Effectiveness of Predicting Suicidal Ideation through Depressive Symptoms and Social Isolation Using Machine Learning Techniques
Sunhae Kim, Kounseok Lee
Psychiatry Research
|
January 14, 2024
Association between insurance type and suicide-related behavior among US adults: The impact of the Affordable Care Act
Seungwon Cho, Kounseok Lee
Psychiatry 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 survey
Sunhae Kim, Kounseok Lee
Psychology Research and Behavior Management
|
September 20, 2022
Association Between Breakfast Consumption and Suicidal Attempts in Adolescents
Hwanjin Park, Kounseok Lee
Neuropsychiatric 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 Methods
Sunhae Kim, Kounseok Lee
Journal of Personalized Medicine
|
September 23, 2022
Using Boosted Machine Learning to Predict Suicidal Ideation by Socioeconomic Status among Adolescents
Hwanjin Park, Kounseok Lee
Journal of Personalized Medicine
|
June 24, 2022
A Machine Learning Approach for Predicting Wage Workers' Suicidal Ideation
Hwanjin Park, Kounseok Lee
Journal of Personalized Medicine
|
May 28, 2022
A Network Analysis of Depressive Symptoms in the Elderly with Subjective Memory Complaints
Sunhae Kim, Kounseok Lee
Page
of 6
Search research articles
Search
Showing results (1-10 of 51) with videos related to
Sort By:
Page
of 6
Journal of Affective Disorders
|
April 7, 2022
Prediction of suicidal ideation in shift workers compared to non-shift workers using machine learning techniques
Hwanjin Park, Kounseok Lee
Journal of Affective Disorders
|
June 17, 2021
The relationship between metabolically healthy obesity and suicidal ideation
Hwanjin Park, Kounseok Lee
Journal of Personalized Medicine
|
April 23, 2022
The Effectiveness of Predicting Suicidal Ideation through Depressive Symptoms and Social Isolation Using Machine Learning Techniques
Sunhae Kim, Kounseok Lee
Psychiatry Research
|
January 14, 2024
Association between insurance type and suicide-related behavior among US adults: The impact of the Affordable Care Act
Seungwon Cho, Kounseok Lee
Psychiatry 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 survey
Sunhae Kim, Kounseok Lee
Psychology Research and Behavior Management
|
September 20, 2022
Association Between Breakfast Consumption and Suicidal Attempts in Adolescents
Hwanjin Park, Kounseok Lee
Neuropsychiatric 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 Methods
Sunhae Kim, Kounseok Lee
Journal of Personalized Medicine
|
September 23, 2022
Using Boosted Machine Learning to Predict Suicidal Ideation by Socioeconomic Status among Adolescents
Hwanjin Park, Kounseok Lee
Journal of Personalized Medicine
|
June 24, 2022
A Machine Learning Approach for Predicting Wage Workers' Suicidal Ideation
Hwanjin Park, Kounseok Lee
Journal of Personalized Medicine
|
May 28, 2022
A Network Analysis of Depressive Symptoms in the Elderly with Subjective Memory Complaints
Sunhae Kim, Kounseok Lee
Page
of 6