[HTML][HTML] Machine Learning for Predicting Neurodevelopmental Disorders in Children
Featured Application This study is an extension of the “Smart Computing Models, Sensors,
and Early Diagnostic Speech and Language Deficits Indicators in Child Communication” …
and Early Diagnostic Speech and Language Deficits Indicators in Child Communication” …
[HTML][HTML] Employing classification techniques on SmartSpeech biometric data towards identification of neurodevelopmental disorders
Early detection and evaluation of children at risk of neurodevelopmental disorders and/or
communication deficits is critical. While the current literature indicates a high prevalence of …
communication deficits is critical. While the current literature indicates a high prevalence of …
[HTML][HTML] Constructing features for screening neurodevelopmental disorders using grammatical evolution
Featured Application This study is part of an ongoing research project titled “Smart
Computing Models, Sensors, and Early diagnostic speech and language deficiencies …
Computing Models, Sensors, and Early diagnostic speech and language deficiencies …
One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech
Background and objective Screening children for communicational disorders such as
specific language impairment (SLI) is always challenging as it requires clinicians to follow a …
specific language impairment (SLI) is always challenging as it requires clinicians to follow a …
[HTML][HTML] Applying Neural Networks on Biometric Datasets for Screening Speech and Language Deficiencies in Child Communication
Screening and evaluation of developmental disorders include complex and challenging
procedures, exhibit uncertainties in the diagnostic fit, and require high clinical expertise …
procedures, exhibit uncertainties in the diagnostic fit, and require high clinical expertise …
A game-based smart system identifying developmental speech and language disorders in child communication: a protocol towards digital clinical diagnostic …
Although a high prevalence of developmental speech/language disorders (3–17%) has
been reported in the current literature still many children are underdiagnosed resulting to …
been reported in the current literature still many children are underdiagnosed resulting to …
Machine learning based automated speech dialog analysis of autistic children
A Wijesinghe, P Samarasinghe… - … on Knowledge and …, 2019 - ieeexplore.ieee.org
Children with autism spectrum disorder (ASD) have altered behaviors in communication,
social interaction, and activity, out of which communication has been the most prominent …
social interaction, and activity, out of which communication has been the most prominent …
Detection and Diagnosis of Learning Disabilities in Children of Saudi Arabia with Artificial Intelligence
Learning Disability (LD) is an umbrella term for various learning difficulties. It is a
neurological disorder that affects the brain of children and hinders their capacity to do one or …
neurological disorder that affects the brain of children and hinders their capacity to do one or …
Prediction of specific language impairment in children using speech linear predictive coding coefficients
Specific language impairment (SLI) is a kind of neurodevelopmental disorders which could
disturb the speech production and language comprehension ability of a child. The …
disturb the speech production and language comprehension ability of a child. The …
[HTML][HTML] Deep-learning-based automated classification of chinese speech sound disorders
YM Kuo, SJ Ruan, YC Chen, YW Tu - Children, 2022 - mdpi.com
This article describes a system for analyzing acoustic data to assist in the diagnosis and
classification of children's speech sound disorders (SSDs) using a computer. The analysis …
classification of children's speech sound disorders (SSDs) using a computer. The analysis …