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Artificial intelligence for precision medicine in neurodevelopmental disorders
The ambition of precision medicine is to design and optimize the pathway for diagnosis,
therapeutic intervention, and prognosis by using large multidimensional biological datasets …
therapeutic intervention, and prognosis by using large multidimensional biological datasets …
Machine learning in autistic spectrum disorder behavioral research: A review and ways forward
F Thabtah - Informatics for Health and Social Care, 2019 - Taylor & Francis
ABSTRACT Autistic Spectrum Disorder (ASD) is a mental disorder that retards acquisition of
linguistic, communication, cognitive, and social skills and abilities. Despite being diagnosed …
linguistic, communication, cognitive, and social skills and abilities. Despite being diagnosed …
[Retracted] Classification and Detection of Autism Spectrum Disorder Based on Deep Learning Algorithms
FW Alsaade, MS Alzahrani - Computational Intelligence and …, 2022 - Wiley Online Library
Autism spectrum disorder (ASD) is a type of mental illness that can be detected by using
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …
social media data and biomedical images. Autism spectrum disorder (ASD) is a neurological …
Detection of autism spectrum disorder in children using machine learning techniques
K Vakadkar, D Purkayastha, D Krishnan - SN computer science, 2021 - Springer
Abstract Autism Spectrum Disorder (ASD) is a neurological disorder which might have a
lifelong impact on the language learning, speech, cognitive, and social skills of an …
lifelong impact on the language learning, speech, cognitive, and social skills of an …
A new machine learning model based on induction of rules for autism detection
F Thabtah, D Peebles - Health informatics journal, 2020 - journals.sagepub.com
Autism spectrum disorder is a developmental disorder that describes certain challenges
associated with communication (verbal and non-verbal), social skills, and repetitive …
associated with communication (verbal and non-verbal), social skills, and repetitive …
Applications of supervised machine learning in autism spectrum disorder research: a review
Autism spectrum disorder (ASD) research has yet to leverage “big data” on the same scale
as other fields; however, advancements in easy, affordable data collection and analysis may …
as other fields; however, advancements in easy, affordable data collection and analysis may …
[HTML][HTML] A review of machine learning methods of feature selection and classification for autism spectrum disorder
Autism Spectrum Disorder (ASD), according to DSM-5 in the American Psychiatric
Association, is a neurodevelopmental disorder that includes deficits of social communication …
Association, is a neurodevelopmental disorder that includes deficits of social communication …
Implementing precision psychiatry: a systematic review of individualized prediction models for clinical practice
Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …
systematically appraised. This study aims to provide a comprehensive review of validated …
An XAI based autism detection: the context behind the detection
With the rapid growth of the Internet of Healthcare Things, a massive amount of data is
generated by a broad variety of medical devices. Because of the complex relationship in …
generated by a broad variety of medical devices. Because of the complex relationship in …
A machine learning framework for early-stage detection of autism spectrum disorders
Autism Spectrum Disorder (ASD) is a type of neurodevelopmental disorder that affects the
everyday life of affected patients. Though it is considered hard to completely eradicate this …
everyday life of affected patients. Though it is considered hard to completely eradicate this …