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 …

Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenoty** 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 …

[КНИГА][B] Principles and methods of social research

WD Crano, MB Brewer, A Lac - 2014 - taylorfrancis.com
Used to train generations of social scientists, this thoroughly updated classic text covers the
latest research techniques and designs. Applauded for its comprehensive coverage, the …

[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 …

[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 …

Activity recognition with moving cameras and few training examples: applications for detection of autism-related headbanging

P Washington, A Kline, OC Mutlu, E Leblanc… - Extended abstracts of …, 2021 - dl.acm.org
Activity recognition computer vision algorithms can be used to detect the presence of autism-
related behaviors, including what are termed “restricted and repetitive behaviors”, or …

[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 …

Feature replacement methods enable reliable home video analysis for machine learning detection of autism

E Leblanc, P Washington, M Varma, K Dunlap… - Scientific reports, 2020 - nature.com
Abstract Autism Spectrum Disorder is a neuropsychiatric condition affecting 53 million
children worldwide and for which early diagnosis is critical to the outcome of behavior …

[HTML][HTML] 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 …

Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection

P Washington, Q Tariq, E Leblanc, B Chrisman… - Scientific reports, 2021 - nature.com
Standard medical diagnosis of mental health conditions requires licensed experts who are
increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a …