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

Formative Evaluation of Digital Health Interventions (2206) Developmental Problems (39) Artificial Intelligence (1194) Machine Learning (1383)

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 Tweetations (2) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.