Artificial intelligence for precision medicine in neurodevelopmental disorders

M Uddin, Y Wang, M Woodbury-Smith - NPJ digital medicine, 2019 - nature.com
The ambition of precision medicine is to design and optimize the pathway for diagnosis,
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 …

[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 …

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 …

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 …

Applications of supervised machine learning in autism spectrum disorder research: a review

KK Hyde, MN Novack, N LaHaye… - Review Journal of …, 2019 - Springer
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 …

[HTML][HTML] A review of machine learning methods of feature selection and classification for autism spectrum disorder

MM Rahman, OL Usman, RC Muniyandi, S Sahran… - Brain sciences, 2020 - mdpi.com
Autism Spectrum Disorder (ASD), according to DSM-5 in the American Psychiatric
Association, is a neurodevelopmental disorder that includes deficits of social communication …

Implementing precision psychiatry: a systematic review of individualized prediction models for clinical practice

G Salazar de Pablo, E Studerus… - Schizophrenia …, 2021 - academic.oup.com
Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …

An XAI based autism detection: the context behind the detection

M Biswas, MS Kaiser, M Mahmud, S Al Mamun… - … Conference on Brain …, 2021 - Springer
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 …

A machine learning framework for early-stage detection of autism spectrum disorders

SMM Hasan, MP Uddin, M Al Mamun, MI Sharif… - IEEE …, 2022 - ieeexplore.ieee.org
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 …