Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Seokmin Ha"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract To identify causation, model-free inference methods, such as Granger Causality, have been widely used due to their flexibility. However, they have difficulty distinguishing synchrony and indirect effects from direct causation, leading to fal
Externí odkaz:
https://doaj.org/article/6b8c689dce294a9f8eec770645489f66
Autor:
Seokmin Ha, Su Jung Choi, Sujin Lee, Reinatt Hansel Wijaya, Jee Hyun Kim, Eun Yeon Joo, Jae Kyoung Kim
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e46520 (2023)
BackgroundSleep disorders, such as obstructive sleep apnea (OSA), comorbid insomnia and sleep apnea (COMISA), and insomnia are common and can have serious health consequences. However, accurately diagnosing these conditions can be challenging as a re
Externí odkaz:
https://doaj.org/article/b289a6cfaa0c4452baf56e314ba52440
To identify causation, model-free inference methods, such as Granger Causality, have been widely used due to their flexibility. However, they have difficulty distinguishing synchrony and indirect effects from direct causation, leading to false predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd0c3801c9cd809da5892967f91afabf
https://doi.org/10.1101/2022.11.29.518354
https://doi.org/10.1101/2022.11.29.518354
Autor:
Joohee Lee, Seokmin Ha, Oli Ahmed, Inn-Kyu Cho, Dongin Lee, Kyumin Kim, Sangha Lee, Solbi Kang, Sooyeon Suh, Seockhoon Chung, Jae Kyoung Kim
Publikováno v:
Sleep medicine. 98
We aimed to validate a Korean version of the Metacognitions Questionnaire-Insomnia (MCQ-I) and develop two shortened versions of the MCQ-I by applying the Random Forest (RF) algorithm. A total of 310 participants responded through an online survey, d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::959af4cf35c0d1ff3c82438a33740a73
https://pubmed.ncbi.nlm.nih.gov/35785586
https://pubmed.ncbi.nlm.nih.gov/35785586