Early autism screening: a comprehensive review
F Thabtah, D Peebles - … journal of environmental research and public …, 2019 - mdpi.com
Autistic spectrum disorder (ASD) refers to a neurodevelopmental condition associated with
verbal and nonverbal communication, social interactions, and behavioural complications …
verbal and nonverbal communication, social interactions, and behavioural complications …
Applying machine learning to facilitate autism diagnostics: pitfalls and promises
Abstract Machine learning has immense potential to enhance diagnostic and intervention
research in the behavioral sciences, and may be especially useful in investigations involving …
research in the behavioral sciences, and may be especially useful in investigations involving …
Analysis and detection of autism spectrum disorder using machine learning techniques
S Raj, S Masood - Procedia Computer Science, 2020 - Elsevier
Abstract Autism Spectrum Disorder (ASD) is a neuro-disorder in which a person has a
lifelong effect on interaction and communication with others. Autism can be diagnosed at …
lifelong effect on interaction and communication with others. Autism can be diagnosed at …
[图书][B] Children's speech and literacy difficulties: A psycholinguistic framework
J Stackhouse, B Wells - 1997 - libarch.nmu.org.ua
This book presents a systematic hypothesis testing approach to the assessment of speech
processing skills in children, and is based on the popular courses run by the authors. The …
processing skills in children, and is based on the popular courses run by the authors. The …
Use of machine learning to improve autism screening and diagnostic instruments: effectiveness, efficiency, and multi‐instrument fusion
Background Machine learning (ML) provides novel opportunities for human behavior
research and clinical translation, yet its application can have noted pitfalls (Bone et al …
research and clinical translation, yet its application can have noted pitfalls (Bone et al …
Is voice a marker for Autism spectrum disorder? A systematic review and meta‐analysis
Individuals with Autism Spectrum Disorder (ASD) tend to show distinctive, atypical acoustic
patterns of speech. These behaviors affect social interactions and social development and …
patterns of speech. These behaviors affect social interactions and social development and …
Distinctive prosodic features of people with autism spectrum disorder: a systematic review and meta-analysis study
In this systematic review, we analyzed and evaluated the findings of studies on prosodic
features of vocal productions of people with autism spectrum disorder (ASD) in order to …
features of vocal productions of people with autism spectrum disorder (ASD) in order to …
Voice patterns in schizophrenia: A systematic review and Bayesian meta-analysis
Voice atypicalities have been a characteristic feature of schizophrenia since its first
definitions. They are often associated with core negative symptoms such as flat affect and …
definitions. They are often associated with core negative symptoms such as flat affect and …
Signal processing and machine learning for mental health research and clinical applications [perspectives]
Formally, the problem that we present is that of identifying the hidden attributes of the system
that modulates the body's signals, uncovered through novel signal processing and machine …
that modulates the body's signals, uncovered through novel signal processing and machine …
Estimating autism severity in young children from speech signals using a deep neural network
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that involves difficulties
in social communication. Previous research has demonstrated that these difficulties are …
in social communication. Previous research has demonstrated that these difficulties are …