The performance of a machine learning model in predicting accelerometer-derived walking speed

The performance of a machine learning model in predicting accelerometer-derived walking speed

Background: Obtaining long-term measurements of walking speed in large-scale studies remains challenging. The aim of this study was to develop and evaluate the performance of a machine learning classifier in predicting slow (≤4 km/h), moderate (4.1–5.4 km/h), and brisk (≥5.5 km/h) walking speeds in...

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Bibliographic Details
Main Authors: Aleksej Logacjov, Tonje Pedersen Ludvigsen, Kerstin Bach, Atle Kongsvold, Mats Flaaten, Tom Ivar Lund Nilsen, Paul Jarle Mork
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Heliyon
Subjects:
Epidemiology
Validity
Physical activity
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025005651
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