This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (3229) Developmental Problems (80) Artificial Intelligence (2129) Machine Learning (2076)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51996, first published .
Comprehensive Assessment and Early Prediction of Gross Motor Performance in Toddlers With Graph Convolutional Networks–Based Deep Learning: Development and Validation Study

Comprehensive Assessment and Early Prediction of Gross Motor Performance in Toddlers With Graph Convolutional Networks–Based Deep Learning: Development and Validation Study

Comprehensive Assessment and Early Prediction of Gross Motor Performance in Toddlers With Graph Convolutional Networks–Based Deep Learning: Development and Validation Study

Authors of this article:

Sulim Chun1 Author Orcid Image ;   Sooyoung Jang1 Author Orcid Image ;   Jin Yong Kim1 Author Orcid Image ;   Chanyoung Ko1 Author Orcid Image ;   JooHyun Lee1 Author Orcid Image ;   JaeSeong Hong1 Author Orcid Image ;   Yu Rang Park1 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

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