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Comparison of wearable activity tracker to actigraphy for sleep evaluation and circadian rhythm measurement.

Lee, Hyun-Ah, Moon, Joung-Ho, Lee, Heon-Jeong, Lee, Taek, In, Hoh Peter, Cho, Chul-Hyun, Kim, Leen

ConferenceIssue Date2016Citation30th Seoul World Congress of the International-College-of-Neuropsychopharmacology (CINP), pp.288PublisherOXFORD UNIV PRESSPlaceUK; Seoul, SOUTH KOREA

SCIESSCISCOPUSKCI

Comparison of Wearable Activity Tracker with Actigraphy for Sleep Evaluation and Circadian Rest-Activity Rhythm Measurement in Healthy Young Adults

Lee, Hyun-Ah, Lee, Heon-Jeong, Moon, Joung-Ho, Lee, Taek, Kim, Min-Gwan, In, Hoh, Cho, Chul-Hyun, Kim, Leen

ArticleIssue Date2017CitationPSYCHIATRY INVESTIGATION, v.14, no.2, pp.179 - 185PublisherKOREAN NEUROPSYCHIATRIC ASSOC

SCIESCOPUS

Development of model based on clock gene expression of human hair follicle cells to estimate circadian time

Lee, Taek, Cho, Chul-Hyun, Kim, Woon Ryoung, Moon, Joung Ho, Kim, Soojin, Geum, Dongho, In, Hoh Peter, Lee, Heon Jeong

ArticleIssue Date2020CitationChronobiology International, v.37, no.7, pp.993 - 1001PublisherTAYLOR & FRANCIS INC

SCIESCOPUS

Effectiveness of a Smartphone App With a Wearable Activity Tracker in Preventing the Recurrence of Mood Disorders: Prospective Case-Control Study

Cho, Chul-Hyun, Lee, Taek, Lee, Jung-Been, Seo, Ju Yeon, Jee, Hee-Jung, Son, Serhim, An, Hyonggin, Kim, Leen, Lee, Heon-Jeong

ArticleIssue Date2020CitationJMIR Mental Health, v.7, no.8PublisherJMIR Publications

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Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Cho, Chul-Hyun, Lee, Taek, Kim, Min-Gwan, In, Hoh Peter, Kim, Leen, Lee, Heon-Jeong

ArticleIssue Date2019CitationJOURNAL OF MEDICAL INTERNET RESEARCH, v.21, no.4PublisherJMIR PUBLICATIONS, INC

SCIESCOPUS

Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study (vol 21, e11029, 2019)open access

Cho, Chul Hyun, Lee, Taek, Kim, Min-Gwan, In, Hoh Peter, Kim, Leen, Lee, Heon-Jeong

ArticleIssue Date2019CitationJournal of Medical Internet Research, v.21, no.10PublisherJournal of medical Internet Research

Prediction of Circadian Clock with Combination of One point Expression Profiles of Ten Circadian Clock Genes of Circadian rhythm Prediction Model

Lee, Taek, Kim, Soojin, Moon, Joung-Ho, Cho, Chul-Hyun, Yang, Kyung-Sook, In, Hoh Peter, Geum, Dongho, Lee, Heon-Jeong

ConferenceIssue Date2016Citation30th Seoul World Congress of the International-College-of-Neuropsychopharmacology (CINP), pp.315PublisherOXFORD UNIV PRESSPlaceUK; Seoul, SOUTH KOREA

SCIESSCISCOPUS

Prediction of impending mood episode recurrence using real-time digital phenotypes in major depression and bipolar disorders in South Korea: a prospective nationwide cohort study

Lee, Heon-Jeong, Cho, Chul-Hyun, Lee, Taek, Jeong, Jaegwon, Yeom, Ji Won, Kim, Sojeong, Jeon, Sehyun, Seo, Ju Yeon, Moon, Eunsoo, Baek, Ji Hyun, et al.

ArticleIssue Date2022CitationPsychological MedicinePublisherCambridge University Press

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Browsing by Lee, TaekAuthor

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