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

Formative Evaluation of Digital Health Interventions (2410) Developmental Problems (47) Artificial Intelligence (1371) Machine Learning (1465)

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 (1) Tweetations (2) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually