Search research articles
Contact Us
Filters
Showing results (1-10 of 13) with videos related to
Page
of 2
Sort By:
Sensors (Basel, Switzerland)
|
October 28, 2023
Ensemble Approach to Combining Episode Prediction Models Using Sequential Circadian Rhythm Sensor Data from Mental Health Patients
Taek Lee, Heon-Jeong Lee, Jung-Been Lee, et al.
Brain and Behavior
|
September 3, 2025
Optimizing Winter-Type Seasonality Criteria in East Asian Populations: A Machine Learning Approach Using the Seasonal Pattern Assessment Questionnaire
Ji Won Yeom, Jung-Been Lee, Soohyun Park, et al.
BMC Geriatrics
|
August 23, 2025
Relationship between caregiving burden and alterations in circadian rhythms among spousal caregivers of individuals with cognitive impairment
Shin Young Park, Jung Been Lee, Taek Lee, et al.
JMIR Mental Health
|
August 7, 2020
Effectiveness of a Smartphone App With a Wearable Activity Tracker in Preventing the Recurrence of Mood Disorders: Prospective Case-Control Study
Chul-Hyun Cho, Taek Lee, Jung-Been Lee, et al.
Psychiatry Investigation
|
August 1, 2024
Daily Self-Monitoring and Feedback of Circadian Rhythm Measures in Major Depression and Bipolar Disorder Using Wearable Devices and Smartphones-The Circadian Rhythm for Mood (CRM®) Trial Protocol: A Randomized Sham Controlled Double-Blind Trial
Ji Won Yeom, Yeaseul Yoon, Ju Yeon Seo, et al.
Metabolism: Clinical and Experimental
|
February 21, 2026
Association of daytime circadian-aligned activity with glycemic control in type 2 diabetes: Insights from continuous glucose monitoring and wearable data
Da Young Lee, Jung-Been Lee, Inha Jung, et al.
NPJ Digital Medicine
|
November 18, 2024
Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features
Dongju Lim, Jaegwon Jeong, Yun Min Song, et al.
Digital Health
|
March 9, 2026
The Circadian Rhythm for Sleep digital therapeutic for insomnia: Conceptual background and single-arm feasibility study
Minhee Seo, Soohyun Park, Jaegwon Jeong, et al.
Endocrinology and Metabolism (Seoul, Korea)
|
July 7, 2022
Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis
Kyoung Jin Kim, Jung-Been Lee, Jimi Choi, et al.
Ebiomedicine
|
April 5, 2024
Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data
Yun Min Song, Jaegwon Jeong, Aurelio A de Los Reyes, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Sensors (Basel, Switzerland)
|
October 28, 2023
Ensemble Approach to Combining Episode Prediction Models Using Sequential Circadian Rhythm Sensor Data from Mental Health Patients
Taek Lee, Heon-Jeong Lee, Jung-Been Lee, et al.
Brain and Behavior
|
September 3, 2025
Optimizing Winter-Type Seasonality Criteria in East Asian Populations: A Machine Learning Approach Using the Seasonal Pattern Assessment Questionnaire
Ji Won Yeom, Jung-Been Lee, Soohyun Park, et al.
BMC Geriatrics
|
August 23, 2025
Relationship between caregiving burden and alterations in circadian rhythms among spousal caregivers of individuals with cognitive impairment
Shin Young Park, Jung Been Lee, Taek Lee, et al.
JMIR Mental Health
|
August 7, 2020
Effectiveness of a Smartphone App With a Wearable Activity Tracker in Preventing the Recurrence of Mood Disorders: Prospective Case-Control Study
Chul-Hyun Cho, Taek Lee, Jung-Been Lee, et al.
Psychiatry Investigation
|
August 1, 2024
Daily Self-Monitoring and Feedback of Circadian Rhythm Measures in Major Depression and Bipolar Disorder Using Wearable Devices and Smartphones-The Circadian Rhythm for Mood (CRM®) Trial Protocol: A Randomized Sham Controlled Double-Blind Trial
Ji Won Yeom, Yeaseul Yoon, Ju Yeon Seo, et al.
Metabolism: Clinical and Experimental
|
February 21, 2026
Association of daytime circadian-aligned activity with glycemic control in type 2 diabetes: Insights from continuous glucose monitoring and wearable data
Da Young Lee, Jung-Been Lee, Inha Jung, et al.
NPJ Digital Medicine
|
November 18, 2024
Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features
Dongju Lim, Jaegwon Jeong, Yun Min Song, et al.
Digital Health
|
March 9, 2026
The Circadian Rhythm for Sleep digital therapeutic for insomnia: Conceptual background and single-arm feasibility study
Minhee Seo, Soohyun Park, Jaegwon Jeong, et al.
Endocrinology and Metabolism (Seoul, Korea)
|
July 7, 2022
Identification of Healthy and Unhealthy Lifestyles by a Wearable Activity Tracker in Type 2 Diabetes: A Machine Learning-Based Analysis
Kyoung Jin Kim, Jung-Been Lee, Jimi Choi, et al.
Ebiomedicine
|
April 5, 2024
Causal dynamics of sleep, circadian rhythm, and mood symptoms in patients with major depression and bipolar disorder: insights from longitudinal wearable device data
Yun Min Song, Jaegwon Jeong, Aurelio A de Los Reyes, et al.
Page
of 2