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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

In various areas of development, gross motor development begins earlier than other areas of development, such as fine motor and language development, and therefore, it is possible to assess the risk of developmental delay at a younger age by monitoring gross motor development. Studies have shown that gross motor development at an early age is predictive of subsequent developments [16] and is also associated with future academic achievement [17,18].

Sulim Chun, Sooyoung Jang, Jin Yong Kim, Chanyoung Ko, JooHyun Lee, JaeSeong Hong, Yu Rang Park

JMIR Form Res 2024;8:e51996