Advance machine learning methods for dyslexia biomarker detection: A review of implementation details and challenges

OL Usman, RC Muniyandi, K Omar, M Mohamad - IEEE Access, 2021 - ieeexplore.ieee.org
Dyslexia is a neurological disorder that is characterized by imprecise comprehension of
words and generally poor reading performance. It affects a significant population of school …

Deep learning applications for dyslexia prediction

ND Alqahtani, B Alzahrani, MS Ramzan - Applied Sciences, 2023 - mdpi.com
Dyslexia is a neurological problem that leads to obstacles and difficulties in the learning
process, especially in reading. Generally, people with dyslexia suffer from weak reading …

[HTML][HTML] Integrating oversampling and ensemble-based machine learning techniques for an imbalanced dataset in dyslexia screening tests

S Kaisar, A Chowdhury - ICT Express, 2022 - Elsevier
Developmental Dyslexia is a learning disorder often discovered in school-aged children
who face difficulties while reading or spelling words even though they may have average or …

Performance evaluation of svm with non-linear kernels for eeg-based dyslexia detection

SK Parmar, OA Ramwala… - 2021 IEEE 9th Region …, 2021 - ieeexplore.ieee.org
Dyslexia is a neurodevelopmental disorder that involves difficulty in interpreting, reading,
and writing but does not necessarily affect intelligence. Several behavioral symptoms have …

[PDF][PDF] Application of machine learning techniques for improving learning disabilities

TS Poornappriya, R Gopinath - International Journal of Electrical …, 2020 - researchgate.net
Learning disorders such as dysgraphia, dyslexia, dyspraxia, and others obstruct academic
progress while also having long-term implications that extend beyond academic time. It is …

Identifying chinese children with dyslexia using machine learning with character dictation

S Man Kit Lee, HW Liu, SX Tong - Scientific Studies of Reading, 2023 - Taylor & Francis
Purpose Dyslexia is characterized by its diverse causes and heterogeneous manifestations.
Chinese children with dyslexia exhibit orthographic, phonological, and semantic deficits …

Novel ensemble model recommendation approach for the detection of dyslexia

AS AlGhamdi - Children, 2022 - mdpi.com
There are a large number of neurological disorders being explored regarding possible
management and treatment, with dyslexia being one of the disorders that affect children at …

Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models

P Haller, A Säuberli, SE Kiener, J Pan, M Yan… - arXiv preprint arXiv …, 2022 - arxiv.org
Eye movements are known to reflect cognitive processes in reading, and psychological
reading research has shown that eye gaze patterns differ between readers with and without …

Biomarker-based approaches for dyslexia screening: A review

MM Janković - 2022 IEEE Zooming Innovation in Consumer …, 2022 - ieeexplore.ieee.org
Early diagnosis of dyslexia, known as word-blindness, could affect the academic, social, and
emotional well-being of individuals. Traditional dyslexia diagnostic approaches are based …

CNN comparisons models on dyslexia handwriting classification

IS Isa, MA Zahir, SA Ramlan, LC Wang… - ESTEEM Academic …, 2021 - ir.uitm.edu.my
Dyslexia is developed by neurobiological in origin which is categorized as learning disorder
that affect the ability to read, spell, write and speak. The most common dyslexia symptom …