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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 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 …
classification. Digital technologies enable the collection of big data, and advances in …
[КНИГА][B] Principles and methods of social research
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 …
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
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] 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 …
Activity recognition with moving cameras and few training examples: applications for detection of autism-related headbanging
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 …
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
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 …
Feature replacement methods enable reliable home video analysis for machine learning detection of autism
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 …
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 …
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
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 …
increasingly outnumbered by those at risk, limiting reach. We test the hypothesis that a …