Development of a Machine Learning-Based Model to Predict Timed-Up-and-Go Test in Older Adults.

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第一作者： Moritz,Kraus

第一单位： Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany.

作者： Moritz,Kraus ^[1] ; Ulla Cordula,Stumpf ^[1] ; Alexander Martin,Keppler ^[1] ; Carl,Neuerburg ^[1] ; Wolfgang,Böcker ^[1] ; Henning,Wackerhage ^[2] ; Sebastian Felix,Baumbach ^[1] ; Maximilian Michael,Saller ^[1]

作者单位： Department of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich, University Hospital of Ludwig-Maximilians-University (LMU), 81377 Munich, Germany. ^[1] Faculty of Sport and Health Sciences, Technical University of Munich, 80809 Munich, Germany. ^[2]

关键词 TUG test age clinical assessment frailty machine learning osteoporosis

DOI 10.3390/geriatrics8050099

PMID 37887972

发布时间 2024-09-27

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Geriatrics (Basel, Switzerland)

2023年8卷5期

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Development of a Machine Learning-Based Model to Predict Timed-Up-and-Go Test in Older Adults.

Geriatrics (Basel, Switzerland)

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Development of a Machine Learning-Based Model to Predict Timed-Up-and-Go Test in Older Adults.

Geriatrics (Basel, Switzerland)

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Geriatrics (Basel, Switzerland)

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