International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Neural biomarkers for dyslexia detection using Machine Learning: A Review

Author : Mallikarjun Nuchhi ¹ Sagar Hegde ² Pavan Kalyan ³ Prakruthi Prasad ⁴ Rohan P ⁵ Dr. Anusha Preetham ⁶

Date of Publication :1st December 2022

Abstract: Dyslexia can be defined as a neurological disease that is branded by sloppy word understanding and overall deprived interpretation skills. It impacts a large number of school-aged kids, with boys being disproportionately affected, placing them at risk for poor academic achievement for the rest of their lives. Long-term, researchers want to develop a dyslexia diagnostic tool based on neural biomarkers. In this regard, a significant range of machine learning and, more recently, deep learning approaches have been deployed with above-chance classification accuracy across diverse types of data sets. In this paper, we carefully examine the latest machine learning techniques to detect this disease and its biomarkers.

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