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

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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Bibliographic Details
Main Authors: Moritz Kraus, Ulla Cordula Stumpf, Alexander Martin Keppler, Carl Neuerburg, Wolfgang Böcker, Henning Wackerhage, Sebastian Felix Baumbach, Maximilian Michael Saller
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Geriatrics
Subjects:
frailty
clinical assessment
machine learning
TUG test
age
osteoporosis
Online Access:https://www.mdpi.com/2308-3417/8/5/99

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https://www.mdpi.com/2308-3417/8/5/99

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