Applying Bagging Machine Learning Techniques to Diagnose Dyslexia in Visual Tasks
Publish place: The 8th National Conference of Applied Researches in Electrical, Mechanical and Mechatronics Engineering
Publish Year: 1403
نوع سند: مقاله کنفرانسی
زبان: English
View: 6
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ELEMECHCONF08_097
تاریخ نمایه سازی: 19 تیر 1403
Abstract:
Dyslexia is a disorder of neurological origin that primarily impacts children's learning, resulting in difficulties with reading and writing. If left undiagnosed, it can cause significant frustration and feelings of intimidation for both the affected children and their families. Without early intervention, these children may experience substantial academic achievement gaps by the time they reach high school. Early detection and intervention for dyslexic students are crucial for fostering positive self-esteem and maximizing academic potential. This paper introduces a Bagging approach for automatically identifying dyslexia in children using machine learning techniques. In this study, we pre-processed brain signals and extracted EEG signal features across ۱۹ channels, focusing on the amplitude and latency of ERP components. Due to the high number of features, we employed Principal Component Analysis (PCA) for feature reduction. To prevent overfitting, we utilized K-fold cross-validation and ultimately, we applied the bagging method for classification.Using this approach, we achieved an overall average classification accuracy of ۹۰.۶%, with sensitivity and specificity rates of ۱۰۰% and ۸۱.۲%, respectively
Keywords:
Authors
Mona Zarei
Department of Biomedical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Behnam Arefi-Rad
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Maryam Mohebbi
Department of Biomedical Engineering, K. N. Toosi University of Technology, Tehran, Iran
Reza Rostami
Department of Psychology, University of Tehran, Tehran, Iran