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Data-Driven Early Prediction of Cerebral Palsy Using AutoML and interpretable kinematic features

2025-02-12

Abstract excerpt

Early identification of cerebral palsy (CP) remains a major challenge due to the reliance on expert assessments that are time-intensive and not scalable. Consequently, a range of studies have aimed at using machine learning to predict CP scores based on motion tracking,e.g. from video data. These studies generally predict clinical scores which are a proxy for CP risk. However, clinicians do not REALLY want to esti...

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Literature Corpus work
b63d8177-d992-58d4-b712-bc598a7b4374
DOI
10.1101/2025.02.10.25322007
Open publication

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Data-Driven Early Prediction of Cerebral Palsy Using AutoML and interpretable kinematic featuresDOI 10.1101/2025.02.10.25322007
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