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 …

Computer Vision Tasks for Ambient Intelligence in Children's Health

D Germanese, S Colantonio, M Del Coco, P Carcagnì… - Information, 2023 - mdpi.com
Computer vision is a powerful tool for healthcare applications since it can provide objective
diagnosis and assessment of pathologies, not depending on clinicians' skills and …

[HTML][HTML] The classification of abnormal hand movement to aid in autism detection: Machine learning study

A Lakkapragada, A Kline, OC Mutlu… - JMIR Biomedical …, 2022 - biomedeng.jmir.org
Background A formal autism diagnosis can be an inefficient and lengthy process. Families
may wait several months or longer before receiving a diagnosis for their child despite …

Validation of a Mobile App for Remote Autism Screening in Toddlers

PR Krishnappa Babu, JM Di Martino, R Aiello… - NEJM AI, 2024 - ai.nejm.org
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[HTML][HTML] Training and profiling a pediatric facial expression classifier for children on mobile devices: machine learning study

A Banerjee, OC Mutlu, A Kline, S Surabhi… - JMIR formative …, 2023 - formative.jmir.org
Background Implementing automated facial expression recognition on mobile devices could
provide an accessible diagnostic and therapeutic tool for those who struggle to recognize …

Game-based social interaction platform for cognitive assessment of autism using eye tracking

YL Chien, CH Lee, YN Chiu, WC Tsai… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
The design goals of recently developed serious games are to improve attention, affective
recognition, and social interactions among individuals with autism. However, most previous …

A Survey on Autism Care, Diagnosis, and Intervention Based on Mobile Apps: Focusing on Usability and Software Design

X Liu, W Zhao, Q Qi, X Luo - Sensors, 2023 - mdpi.com
This article presents a systematic review on autism care, diagnosis, and intervention based
on mobile apps running on smartphones and tablets. Here, the term “intervention” means a …

[HTML][HTML] A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health

P Washington - Journal of Medical Internet Research, 2024 - jmir.org
Modern machine learning approaches have led to performant diagnostic models for a
variety of health conditions. Several machine learning approaches, such as decision trees …

[HTML][HTML] Using# ActuallyAutistic on Twitter for Precision Diagnosis of Autism Spectrum Disorder: Machine Learning Study

A Jaiswal, P Washington - JMIR Formative Research, 2024 - formative.jmir.org
Background The increasing use of social media platforms has given rise to an
unprecedented surge in user-generated content, with millions of individuals publicly sharing …

[HTML][HTML] Parkinson disease recognition using a gamified website: machine learning development and usability study

S Parab, J Boster, P Washington - JMIR Formative Research, 2023 - formative.jmir.org
Background: Parkinson disease (PD) affects millions globally, causing motor function
impairments. Early detection is vital, and diverse data sources aid diagnosis. We focus on …