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 …
children. Like many neurological disorder phenotypes, the diagnostic features are …
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 …
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
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that results
in altered behavior, social development, and communication patterns. In recent years …
in altered behavior, social development, and communication patterns. In recent years …
[HTML][HTML] Improved digital therapy for developmental pediatrics using domain-specific artificial intelligence: machine learning study
P Washington, H Kalantarian, J Kent… - JMIR pediatrics and …, 2022 - pediatrics.jmir.org
Background Automated emotion classification could aid those who struggle to recognize
emotions, including children with developmental behavioral conditions such as autism …
emotions, including children with developmental behavioral conditions such as autism …
[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 …
may wait several months or longer before receiving a diagnosis for their child despite …
A mobile game platform for improving social communication in children with autism: a feasibility study
Y Penev, K Dunlap, A Husic, C Hou… - Applied clinical …, 2021 - thieme-connect.com
Background Many children with autism cannot receive timely in-person diagnosis and
therapy, especially in situations where access is limited by geography, socioeconomics, or …
therapy, especially in situations where access is limited by geography, socioeconomics, or …
Precision telemedicine through crowdsourced machine learning: testing variability of crowd workers for video-based autism feature recognition
P Washington, E Leblanc, K Dunlap, Y Penev… - Journal of personalized …, 2020 - mdpi.com
Mobilized telemedicine is becoming a key, and even necessary, facet of both precision
health and precision medicine. In this study, we evaluate the capability and potential of a …
health and precision medicine. In this study, we evaluate the capability and potential of a …
[HTML][HTML] The performance of emotion classifiers for children with parent-reported autism: quantitative feasibility study
H Kalantarian, K Jedoui, K Dunlap, J Schwartz… - JMIR mental …, 2020 - mental.jmir.org
Background: Autism spectrum disorder (ASD) is a developmental disorder characterized by
deficits in social communication and interaction, and restricted and repetitive behaviors and …
deficits in social communication and interaction, and restricted and repetitive behaviors and …
[HTML][HTML] Training and profiling a pediatric facial expression classifier for children on mobile devices: machine learning study
Background Implementing automated facial expression recognition on mobile devices could
provide an accessible diagnostic and therapeutic tool for those who struggle to recognize …
provide an accessible diagnostic and therapeutic tool for those who struggle to recognize …
Selection of trustworthy crowd workers for telemedical diagnosis of pediatric autism spectrum disorder
P Washington, E Leblanc, K Dunlap… - Pacific Symposium …, 2021 - pmc.ncbi.nlm.nih.gov
Crowd-powered telemedicine has the potential to revolutionize healthcare, especially during
times that require remote access to care. However, sharing private health data with …
times that require remote access to care. However, sharing private health data with …