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Journal of Medical Systems
|
March 11, 2026
The Dysfunctional Self-Focus Attributes Scale-7 (DSAS-7): A Machine Learning-based Development of a Shortened Version of the DSAS
Eui Min Jeong, Hwan Kim, Saebom Jeon, et al.
Psychiatry Investigation
|
August 13, 2025
Validation of the Korean Version of the Anxiety and Preoccupation About Sleep Questionnaire and Comparisons With Other Sleep-Related Cognition Scales Among the General Population
Young Rong Bang, Saebom Jeon, Junseok Ahn, et al.
Sleep & Breathing = Schlaf & Atmung
|
March 24, 2026
Machine learning approached a 14-item shortened version of the Positive And Negative Sleep Appraisal Measure (PANSAM-14)
Myna Lim, Sewon Kim, Saebom Jeon, et al.
Sleep Medicine
|
May 9, 2024
Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven shortened version from a machine learning approach
Hyeontae Jo, Hong Jun Jeon, Junseok Ahn, et al.
Sleep and Biological Rhythms
|
September 24, 2025
Cancer-related Dysfunctional Beliefs and Attitude about Sleep-6 (C-DBAS-6): a practical and accurate shortened version using XGBoost and SymScore
Olive R Cawiding, Hyeontae Jo, Saebom Jeon, et al.
Sleep & Breathing = Schlaf & Atmung
|
April 29, 2024
Data-driven shortened Insomnia Severity Index (ISI): a machine learning approach
Hyeontae Jo, Myna Lim, Hong Jun Jeon, et al.
Science Advances
|
February 12, 2025
Disentangling climate's dual role in dengue dynamics: A multiregion causal analysis study
Olive R Cawiding, Saebom Jeon, Donnabel Tubera-Panes, et al.
Behavioral Sleep Medicine
|
August 22, 2025
Machine-Learning Validated Short Form of the Korean Version of the Sleep-Related Behaviors Questionnaire-10 Items: SRBQ-10
Saebom Jeon, Eui Min Jeong, Young Rong Bang, et al.
BMC Psychiatry
|
June 25, 2026
A machine learning-based screening tool for classifying post-traumatic stress disorder in firefighters: Firefighter Latent Risk Evaluation (FLARE)
Seok Joo Chae, Johanna Inhyang Kim, Hyeontae Jo, et al.
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of 2
Search research articles
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Showing results (11-20 of 19) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 19 results.
Journal of Medical Systems
|
March 11, 2026
The Dysfunctional Self-Focus Attributes Scale-7 (DSAS-7): A Machine Learning-based Development of a Shortened Version of the DSAS
Eui Min Jeong, Hwan Kim, Saebom Jeon, et al.
Psychiatry Investigation
|
August 13, 2025
Validation of the Korean Version of the Anxiety and Preoccupation About Sleep Questionnaire and Comparisons With Other Sleep-Related Cognition Scales Among the General Population
Young Rong Bang, Saebom Jeon, Junseok Ahn, et al.
Sleep & Breathing = Schlaf & Atmung
|
March 24, 2026
Machine learning approached a 14-item shortened version of the Positive And Negative Sleep Appraisal Measure (PANSAM-14)
Myna Lim, Sewon Kim, Saebom Jeon, et al.
Sleep Medicine
|
May 9, 2024
Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven shortened version from a machine learning approach
Hyeontae Jo, Hong Jun Jeon, Junseok Ahn, et al.
Sleep and Biological Rhythms
|
September 24, 2025
Cancer-related Dysfunctional Beliefs and Attitude about Sleep-6 (C-DBAS-6): a practical and accurate shortened version using XGBoost and SymScore
Olive R Cawiding, Hyeontae Jo, Saebom Jeon, et al.
Sleep & Breathing = Schlaf & Atmung
|
April 29, 2024
Data-driven shortened Insomnia Severity Index (ISI): a machine learning approach
Hyeontae Jo, Myna Lim, Hong Jun Jeon, et al.
Science Advances
|
February 12, 2025
Disentangling climate's dual role in dengue dynamics: A multiregion causal analysis study
Olive R Cawiding, Saebom Jeon, Donnabel Tubera-Panes, et al.
Behavioral Sleep Medicine
|
August 22, 2025
Machine-Learning Validated Short Form of the Korean Version of the Sleep-Related Behaviors Questionnaire-10 Items: SRBQ-10
Saebom Jeon, Eui Min Jeong, Young Rong Bang, et al.
BMC Psychiatry
|
June 25, 2026
A machine learning-based screening tool for classifying post-traumatic stress disorder in firefighters: Firefighter Latent Risk Evaluation (FLARE)
Seok Joo Chae, Johanna Inhyang Kim, Hyeontae Jo, et al.
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