Artificial intelligence model to identify elderly patients with locomotive syndrome: A cross-section study

Identifying elderly individuals with locomotive syndrome is important to prevent disability in this population. Although screening tools for locomotive syndrome are available, these require time commitment and are limited by an individual's ability to complete questionnaires independently. To i...

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Veröffentlicht in:	Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association 2023-05, Vol.28 (3), p.656-661
Hauptverfasser:	Takahashi, Shinji, Nonomiya, Yuta, Terai, Hidetomi, Hoshino, Masatoshi, Ohyama, Shoichiro, Shintani, Ayumi, Nakamura, Hiroaki
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Aging Artificial Intelligence Cross-Sectional Studies Foot pressure Gait Humans Locomotion Locomotive syndrome Mobility Limitation Syndrome
Online-Zugang:	Volltext
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