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 …

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 …

Prediction of dyslexia using machine learning—a research travelogue

A Jothi Prabha, R Bhargavi - … of the Third International Conference on …, 2019 - Springer
Dyslexia is regarded as a common learning disorder characterized by a persistent deficit in
rapid word recognition and by spelling. It affects the individual's ability to decode letters and …

Prediction of dyslexia from eye movements using machine learning

A Jothi Prabha, R Bhargavi - IETE Journal of Research, 2022 - Taylor & Francis
Dyslexia is a reading disability and a language disorder where the individual exhibits
difficulty in reading, writing, speaking, and trouble in spelling words. Early prediction of …

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 …

[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 …

[HTML][HTML] Dyslexia detection using 3D convolutional neural networks and functional magnetic resonance imaging

S Zahia, B Garcia-Zapirain, I Saralegui… - Computer methods and …, 2020 - Elsevier
Abstract Background and Objectives: Dyslexia is a disorder of neurological origin which
affects the learning of those who suffer from it, mainly children, and causes difficulty in …

Dyslexia and Dysgraphia prediction: A new machine learning approach

G Richard, M Serrurier - arXiv preprint arXiv:2005.06401, 2020 - arxiv.org
Learning disabilities like dysgraphia, dyslexia, dyspraxia, etc. interfere with academic
achievements but have also long terms consequences beyond the academic time. It is …

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 …

[HTML][HTML] Detection of developmental dyslexia with machine learning using eye movement data

P Raatikainen, J Hautala, O Loberg, T Kärkkäinen… - Array, 2021 - Elsevier
Dyslexia is a common neurocognitive learning disorder that can seriously hinder individuals'
aspirations if not detected and treated early. Instead of costly diagnostic assessment made …