Cargando…

An Efficient Machine Learning-Based Feature Optimization Model for the Detection of Dyslexia

Dyslexia is among the most common neurological disorders in children. Detection of dyslexia therefore remains an important pursuit for the research works across various domains which is illustrated by the plethora of work presented in diverse scientific articles. The work presented herein attempted...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ahmad, Nazir, Rehman, Mohammed Burhanur, El Hassan, Hatim Mohammed, Ahmad, Iqrar, Rashid, Mamoon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288336/ https://www.ncbi.nlm.nih.gov/pubmed/35855801 http://dx.doi.org/10.1155/2022/8491753

Ejemplares similares

Machine learning and dyslexia: Classification of individual structural neuro-imaging scans of students with and without dyslexia
por: Tamboer, P., et al.
Publicado: (2016)

Comparative phylogenomic insights of KCS and ELO gene families in Brassica species indicate their role in seed development and stress responsiveness
por: Khan, Uzair Muhammad, et al.
Publicado: (2023)

Identifying Determinants of Dyslexia: An Ultimate Attempt Using Machine Learning
por: Walda, Sietske, et al.
Publicado: (2022)

Feature Signature Discovery for Autism Detection: An Automated Machine Learning Based Feature Ranking Framework
por: Jacob, Shomona Gracia, et al.
Publicado: (2023)

Dyslexia: neurobiology, clinical features, evaluation and management
por: Munzer, Tiffany, et al.
Publicado: (2020)

Genomic diversity of aquaporins across genus Oryza provides a rich genetic resource for development of climate resilient rice cultivars
por: Raza, Qasim, et al.
Publicado: (2023)

Unveiling the Mysteries of Dyslexia—Lessons Learned from the Prospective Jyväskylä Longitudinal Study of Dyslexia
por: Lohvansuu, Kaisa, et al.
Publicado: (2021)

Visual word learning in adults with dyslexia
por: Kwok, Rosa K. W., et al.
Publicado: (2014)

A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism
por: Ashfaq, Tehreem, et al.
Publicado: (2022)

Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence
por: Elmannai, Hela, et al.
Publicado: (2023)

Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections
por: Sedik, Ahmed, et al.
Publicado: (2020)

A Smart-Anomaly-Detection System for Industrial Machines Based on Feature Autoencoder and Deep Learning
por: Ahmed, Imran, et al.
Publicado: (2023)

Problems with visual statistical learning in developmental dyslexia
por: Sigurdardottir, Heida Maria, et al.
Publicado: (2017)

Curiosity-driven learning in adults with and without dyslexia
por: Garvin, Bethany, et al.
Publicado: (2021)

Predicting Dyslexia and Reading Speed in Adolescents from Eye Movements in Reading and Non-Reading Tasks: A Machine Learning Approach
por: El Hmimdi, Alae Eddine, et al.
Publicado: (2021)

Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models
por: Rihan , Shaza Dawood Ahmed, et al.
Publicado: (2023)

Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance
por: Khairuddin, Mohamed Zul Fadhli, et al.
Publicado: (2022)

Genome Wide Analysis of Family-1 UDP Glycosyltransferases in Populus trichocarpa Specifies Abiotic Stress Responsive Glycosylation Mechanisms
por: Rehman, Hafiz Mamoon, et al.
Publicado: (2022)

Detecting ulcerative colitis from colon samples using efficient feature selection and machine learning
por: Khorasani, Hanieh Marvi, et al.
Publicado: (2020)

Optimization of investment strategies through machine learning
por: Li, Jiaqi, et al.
Publicado: (2023)

Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
por: Agrawal, Tanay
Publicado: (2020)

Socioemotional Features and Resilience in Italian University Students with and without Dyslexia
por: Ghisi, Marta, et al.
Publicado: (2016)

Periodic and Aperiodic EEG Features as Potential Markers of Developmental Dyslexia
por: Turri, Chiara, et al.
Publicado: (2023)

Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
por: Khan, Muhammad Attique, et al.
Publicado: (2020)

Inter-letter spacing, inter-word spacing, and font with dyslexia-friendly features: testing text readability in people with and without dyslexia
por: Galliussi, Jessica, et al.
Publicado: (2020)

From Languishing Dyslexia to Thriving Dyslexia: Developing a New Conceptual Approach to Working with People with Dyslexia
por: Kannangara, Chathurika S.
Publicado: (2015)

Prediction of Heart Disease Based on Machine Learning Using Jellyfish Optimization Algorithm
por: Ahmad, Ahmad Ayid, et al.
Publicado: (2023)

Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques
por: Tien Bui, Dieu, et al.
Publicado: (2019)

Visual perception in dyslexia is limited by sub-optimal scale selection
por: Johnston, Richard, et al.
Publicado: (2017)

Using Exogenous Melatonin, Glutathione, Proline, and Glycine Betaine Treatments to Combat Abiotic Stresses in Crops
por: Khalid, Memoona, et al.
Publicado: (2022)

Accessible Dyslexia Detection with Real-Time Reading Feedback through Robust Interpretable Eye-Tracking Features
por: Vajs, Ivan, et al.
Publicado: (2023)

DEVELOPMENTAL DYSLEXIA
Publicado: (1964)

Dyslexia and dentistry
por: Bennett, Claire
Publicado: (2021)

The modality and redundancy effects in multimedia learning in children with dyslexia
por: Knoop‐van Campen, Carolien A. N., et al.
Publicado: (2018)

Neural correlates of sequence learning in children with developmental dyslexia
por: Hedenius, Martina, et al.
Publicado: (2022)

Statistical learning in children with a family risk of dyslexia
por: de Bree, Elise, et al.
Publicado: (2022)

Dyslexia debated, then and now: a historical perspective on the dyslexia debate
por: Kirby, Philip
Publicado: (2020)

Deep Learning-Based Detection of Articulatory Features in Arabic and English Speech
por: Algabri, Mohammed, et al.
Publicado: (2021)

Assessment of Acoustic Features and Machine Learning for Parkinson's Detection
por: Pramanik, Moumita, et al.
Publicado: (2021)

Novel Ensemble Model Recommendation Approach for the Detection of Dyslexia
por: AlGhamdi, Ahmed Saeed
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_v9u5cnl1cve9m9plhg7s7cph7f