Conceptual Framework for Integrating Multimodal Machine Learning into Special Needs Support App

This study implements a mobile health (mHealth) app built by leveraging a multimodal machine learning framework to track and support the developmental milestones of children with special needs and explains the importance of collaboration with school districts in the process by addressing data diversity, inclusivity, and fairness. It allows the investigation of approaches, such as the collection of usage data to inform the design of tailored interventions and the incorporation of educational knowledge in the design of the app. The development of mHealth applications for children with special needs is a pathway toward easier and more efficient personalized care. Collaborative strategies for developing an inclusive mHealth app were identified and the app was designed to track and support the developmental milestones of children with special needs. Data underrepresentation and bias in mHealth applications could be overcome through the identified strategies in solving the multisectoral problem, targeting children with disabilities.