Android Application for Smart Diagnosis of Children with Disabilities and Its Correlation to Neuroscience: Definition, Literature Review with Bibliometric Analysis, and Experiments

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W. Wagino, Zaenal Abidin, Onny Fransinata Anggara, S. Sujarwanto, Amadhila Elina Penehafo

2024 Indonesian Journal of Science and Technology Vol. 9 Issue 2 Article Cited by 15 SDG 16SDG 4SDG 10SDG 8SDG 17 Quartile

Abstract

This study aimed to develop a Smart Diagnosis Application for Children with Disabilities as a tool that can detect early developmental disorders in children with indications of special needs. The development of smart diagnostic applications for children with special needs represents a significant advancement in early childhood care and intervention. Developing a smart diagnostic application involves a structured design-based research (DBR) process to ensure the application effectively meets the needs of children. Smart diagnostic applications use advanced technologies like artificial intelligence and machine learning to provide personalized assessments for children's developmental milestones. The tools empower parents, caregivers, and healthcare professionals with accurate insights. The user-friendly design makes the diagnostic process more manageable, and the cost-effectiveness reduces specialist visits. The iterative nature of the software allows for continuous improvement, contributing to better health outcomes and quality of life. © 2024 Tim Pengembang Jurnal UPI.

Affiliations

Universitas Negeri Surabaya, Indonesia; Universitas Pendidikan Indonesia, Indonesia; University of Namibia, Namibia

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