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

Introduction: The measurement of physical frailty in elderly patients with orthopedic impairments remains a challenge due to its subjectivity, unreliability, time-consuming nature, and limited applicability to uninjured individuals. Our study aims to address this gap by developing objective, multifa...

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Detalles Bibliográficos
Autores principales: Kraus, Moritz, Stumpf, Ulla Cordula, Keppler, Alexander Martin, Neuerburg, Carl, Böcker, Wolfgang, Wackerhage, Henning, Baumbach, Sebastian Felix, Saller, Maximilian Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606325/
https://www.ncbi.nlm.nih.gov/pubmed/37887972
http://dx.doi.org/10.3390/geriatrics8050099

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606325/
https://www.ncbi.nlm.nih.gov/pubmed/37887972
http://dx.doi.org/10.3390/geriatrics8050099

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