Zobrazeno 1 - 10
of 18
pro vyhledávání: '"HIDEYUKI BAN"'
Autor:
Masaru Suzuki, Isao Matsumoto, Masato Ishida, Yoshiharu Horie, Hideyuki Ban, Wataru Takeuchi, Shunki Nakagawa, Tohru Nakagawa, Tetsuhisa Kitamura, Shigeo Muro
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract This study compared the time profile of FEV1 after COPD diagnosis among rapid decliners, slow decliners, and sustainers in the year of COPD diagnosis. COPD subjects were identified from the annual medical checkup records of Hitachi, Ltd., em
Externí odkaz:
https://doaj.org/article/1a3610a44b15482b8c50f60d58737b4e
Autor:
Shigeo Muro, Masato Ishida, Yoshiharu Horie, Wataru Takeuchi, Shunki Nakagawa, Hideyuki Ban, Tohru Nakagawa, Tetsuhisa Kitamura
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 7, p e24796 (2021)
BackgroundAirflow limitation is a critical physiological feature in chronic obstructive pulmonary disease (COPD), for which long-term exposure to noxious substances, including tobacco smoke, is an established risk. However, not all long-term smokers
Externí odkaz:
https://doaj.org/article/3e633bc3664c476eaafcd0f595b4302d
Autor:
Masaru Suzuki, Isao Matsumoto, Masato Ishida, Yoshiharu Horie, Hideyuki Ban, Wataru Takeuchi, Shunki Nakagawa, Tohru Nakagawa, Tetsuhisa Kitamura, Shigeo Muro
Background: Identification of the factors associated with a rapid decline in forced expiratory volume in 1 second (FEV1) at an early stage of chronic obstructive pulmonary disease (COPD) is of particular clinical importance because it may allow timel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc2d483c28498e0a48108ffe051817d8
https://doi.org/10.21203/rs.3.rs-1932603/v1
https://doi.org/10.21203/rs.3.rs-1932603/v1
Publikováno v:
Diabetes. 71
Background and Objectives: The established treatment target for most patients with type 2 diabetes mellitus (T2DM) is controlling HbA1c levels to less than 7%; however, about half of patients fail to achieve this target. In order to support optimal p
Autor:
Junichi Kuwata, Kensaku Kawamoto, Salvador Rodriguez-Loya, Hideyuki Ban, Kyle Turner, Michael Flynn, Takeuchi Wataru, George Chalkidis, Charlene R. Weir, Farrant Sakaguchi, Heidi Kramer, Polina V. Kukhareva, David Shields, Shinji Tarumi, Phillip B. Warner
Publikováno v:
Methods of Information in Medicine
Objectives Artificial intelligence (AI), including predictive analytics, has great potential to improve the care of common chronic conditions with high morbidity and mortality. However, there are still many challenges to achieving this vision. The go
Autor:
Shinji, Tarumi, Wataru, Takeuchi, Rong, Qi, Xia, Ning, Laura, Ruppert, Hideyuki, Ban, Daniel H, Robertson, Titus, Schleyer, Kensaku, Kawamoto
Publikováno v:
Journal of Biomedical Informatics. 129:104001
Electronic health record (EHR) data are increasingly used to develop prediction models to support clinical care, including the care of patients with common chronic conditions. A key challenge for individual healthcare systems in developing such model
Autor:
Shigeo Muro, Masato Ishida, Yoshiharu Horie, Wataru Takeuchi, Shunki Nakagawa, Hideyuki Ban, Tohru Nakagawa, Tetsuhisa Kitamura
BACKGROUND Airflow limitation is a critical physiological feature in chronic obstructive pulmonary disease (COPD), for which long-term exposure to noxious substances, including tobacco smoke, is an established risk. However, not all long-term smokers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::073a77061127ca4d7bdcd150090ff585
https://doi.org/10.2196/preprints.24796
https://doi.org/10.2196/preprints.24796
Autor:
Sumio Watanabe, Kenichi Ikejima, Tomonori Aoyama, Hideyuki Ban, Shunhei Yamashina, Kazuyoshi Kon, Hidekatsu Takada, Akira Uchiyama
Publikováno v:
Internal Medicine
Continuity is required for diet therapy, but it depends on patients. We examined the utility of a new tool, the customized online nutrition guidance system, in patients with nonalcoholic fatty liver disease (NAFLD). Seven patients plotted their body
Publikováno v:
Health Evaluation and Promotion. 40:457-463
Publikováno v:
ICMLA
Bayesian network is a powerful tool to represent patterns inside past data. It can be used to predict future by calculating the posterior probability of future events. Machine learning techniques that can construct a Bayesian network from past data a