Predicting Gross Motor Function in Children and Adolescents with Cerebral Palsy Applying Artificial Intelligence Using Data on Assistive Devices

Predicting Gross Motor Function in Children and Adolescents with Cerebral Palsy Applying Artificial Intelligence Using Data on Assistive Devices

Data obtained from routine clinical care find increasing use in a scientific context. Many routine databases, e.g., from health insurance providers, include records of medical devices and therapies, but not on motor function, such as the frequently used Gross Motor Function Measure-66 (GMFM-66) scor...

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Bibliographic Details
Main Authors: Lisa von Elling-Tammen, Christina Stark, Kim Ramona Wloka, Evelyn Alberg, Eckhard Schoenau, Ibrahim Duran
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Clinical Medicine
Subjects:
cerebral palsy
gross motor function measure
GMFM-66
GMFCS
machine learning
Online Access:https://www.mdpi.com/2077-0383/12/6/2228

Internet

https://www.mdpi.com/2077-0383/12/6/2228

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