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All Journal The Indonesian Journal of Computer Science
Walujo, Ivana Yudith
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Autism Detection based on Deep Learning Walujo, Ivana Yudith; Iwan Syarif; Arna Fariza
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4552

Abstract

Autism Spectrum Disorder (ASD) is a complex developmental condition that affects communication and behavior, with prevalence rates increasing significantly in recent years [1]. According to recent research, early detection remains a challenge but is essential for effective intervention. This study leverages deep learning, specifically the ResNet 34 model, to analyze facial features in children, facilitating early detection of ASD. Using cross-validation to ensure robust model performance, the approach achieved an accuracy rate of 87% with ResNet 34 and 86% with cross-validation. This study contributes to the field by offering a non-invasive diagnostic aid that can help healthcare providers recognize ASD traits through facial analysis. The findings highlight the potential of deep learning in advancing ASD detection, with future work aimed at expanding the dataset and improving model precision.
Co-Authors Arna Fariza iwan Syarif