Advance machine learning methods for dyslexia biomarker detection: A review of implementation details and challenges
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 …
words and generally poor reading performance. It affects a significant population of school …
A systematic review of research dimensions towards dyslexia screening using machine learning
TG Jan, SM Khan - Journal of The Institution of Engineers (India): Series B, 2023 - Springer
Dyslexia is the hidden learning disability, neurobiological in origin wherein students face
hard time in accurate or fluent word recognition, connecting letters to the sounds. In India …
hard time in accurate or fluent word recognition, connecting letters to the sounds. In India …
[HTML][HTML] 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 …
process, especially in reading. Generally, people with dyslexia suffer from weak reading …
[HTML][HTML] Detection of developmental dyslexia with machine learning using eye movement data
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 …
aspirations if not detected and treated early. Instead of costly diagnostic assessment made …
[HTML][HTML] Developmental dyslexia detection using machine learning techniques: A survey
S Kaisar - ICT Express, 2020 - Elsevier
Developmental dyslexia is a learning disability that occurs mostly in children during their
early childhood. Dyslexic children face difficulties while reading, spelling and writing words …
early childhood. Dyslexic children face difficulties while reading, spelling and writing words …
A comprehensive review of machine learning approaches for dyslexia diagnosis
Electroencephalography (EEG) is the commonly employed electro-biological imaging
technique for diagnosing brain functioning. The EEG signals are used to determine head …
technique for diagnosing brain functioning. The EEG signals are used to determine head …
[HTML][HTML] Eye tracking based dyslexia detection using a holistic approach
B Nerušil, J Polec, J Škunda, J Kačur - Scientific Reports, 2021 - nature.com
A new detection method for cognitive impairments is presented utilizing an eye tracking
signals in a text reading test. This research enhances published articles that extract …
signals in a text reading test. This research enhances published articles that extract …
[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 …
who face difficulties while reading or spelling words even though they may have average or …
[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 …
affects the learning of those who suffer from it, mainly children, and causes difficulty in …
EEG connectivity analysis using denoising autoencoders for the detection of dyslexia
The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological
difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more …
difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more …