Machine learning versus binomial logistic regression analysis for fall risk based on SPPB scores in older adult outpatients.

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第一作者： Sho,Hasegawa

第一单位： Department of Pharmacotherapeutics and Informatics, Fujita Health University, Toyoake, Japan.

作者： Sho,Hasegawa ^[1] ; Fumihiro,Mizokami ^[2] ; Yoshitaka,Kameya ^[2] ; Yuji,Hayakawa ^[3] ; Tsuyoshi,Watanabe ^[4] ; Yasumoto,Matsui ^[2]

作者单位： Department of Pharmacotherapeutics and Informatics, Fujita Health University, Toyoake, Japan. ^[1] Department of Education and Innovation, Training for Pharmacy, National Center for Geriatrics and Gerontology, Obu, Japan. ^[2] Department of Pharmacy, National Center for Geriatrics and Gerontology, Obu, Japan. ^[3] Department of Information Engineering, Meijo University, Nagoya, Japan. ^[4] Department of Pharmacy, National Hospital Organization, Nagoya Medical Center, Nagoya, Japan. ^[5] Department of Orthopaedic Surgery, National Center for Geriatrics and Gerontology, Obu, Japan. ^[6] Center for Frailty and Locomotive Syndrome, National Center for Geriatrics and Gerontology, Obu, Japan. ^[7]

关键词 Falls binomial logistic regression analysis diagnostic model machine learning short physical performance battery

DOI 10.1177/20552076231219438

PMID 38107982

发布时间 2023-12-19

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Machine learning versus binomial logistic regression analysis for fall risk based on SPPB scores in older adult outpatients.

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Machine learning versus binomial logistic regression analysis for fall risk based on SPPB scores in older adult outpatients.

Digital health

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Digital health

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