[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 …

[HTML][HTML] A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism

P Washington, DP Wall - Annual review of biomedical data …, 2023 - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

[HTML][HTML] Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children

N Kojovic, S Natraj, SP Mohanty, T Maillart… - Scientific Reports, 2021 - nature.com
Clinical research in autism has recently witnessed promising digital phenotyping results,
mainly focused on single feature extraction, such as gaze, head turn on name-calling or …

[HTML][HTML] A scoping review of telehealth diagnosis of autism spectrum disorder

KKM Stavropoulos, Y Bolourian, J Blacher - PloS one, 2022 - journals.plos.org
Background Considering the COVID-19 pandemic, understanding the reliability, validity,
social validity, and feasibility of using telehealth to diagnose ASD is a critical public health …

Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenotyping in computational psychiatry

P Washington, N Park, P Srivastava, C Voss… - Biological Psychiatry …, 2020 - Elsevier
Data science and digital technologies have the potential to transform diagnostic
classification. Digital technologies enable the collection of big data, and advances in …

[HTML][HTML] Classifying autism from crowdsourced semistructured speech recordings: machine learning model comparison study

NA Chi, P Washington, A Kline, A Husic… - JMIR pediatrics and …, 2022 - pediatrics.jmir.org
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that results
in altered behavior, social development, and communication patterns. In recent years …

Annual Research Review: Translational machine learning for child and adolescent psychiatry

D Dwyer, N Koutsouleris - Journal of Child Psychology and …, 2022 - Wiley Online Library
Children and adolescents could benefit from the use of predictive tools that facilitate
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …

Investigation of machine learning methods for early prediction of neurodevelopmental disorders in children

S Alam, P Raja, Y Gulzar - Wireless communications and …, 2022 - Wiley Online Library
Several variables, for instance, inheritance and surroundings, influence the growth of
neurodevelopmental disorders, eg, autism spectrum disorder (ASD) and attention deficit …

A systematic review of remote telehealth assessments for early signs of autism spectrum disorder: Video and mobile applications.

AV Dahiya, C McDonnell, E DeLucia… - Practice Innovations, 2020 - psycnet.apa.org
Autism spectrum disorder (ASD) impacts an individual's developmental trajectory across
several domains, supporting the importance of early detection and identification, which is …

[HTML][HTML] Video-based automatic baby motion analysis for early neurological disorder diagnosis: state of the art and future directions

M Leo, GM Bernava, P Carcagnì, C Distante - Sensors, 2022 - mdpi.com
Neurodevelopmental disorders (NDD) are impairments of the growth and development of
the brain and/or central nervous system. In the light of clinical findings on early diagnosis of …