The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns

The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns

Abstract The diverse nature and timing of a clubfoot relapse pose challenges for early detection. A relapsed clubfoot typically involves a combination of deformities affecting a child’s movement pattern across multiple joint levels, formed by a complex kinematic chain. Machine learning algorithms ha...

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Bibliographic Details
Main Authors: Lianne Grin, Sieglinde Bogaert, Saskia Wijnands, Arnold Besselaar, Marieke van der Steen, Jesse Davis, Benedicte Vanwanseele
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Clubfoot
Relapse
Machine learning
Classification
Movement pattern
Gait characteristics
Online Access:https://doi.org/10.1038/s41598-025-12890-y
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https://doi.org/10.1038/s41598-025-12890-y

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