A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism
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 …
[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
[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
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 …
[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 …
[HTML][HTML] Identification of social engagement indicators associated with autism spectrum disorder using a game-based mobile app: comparative study of gaze fixation …
Background Autism spectrum disorder (ASD) is a widespread neurodevelopmental
condition with a range of potential causes and symptoms. Standard diagnostic mechanisms …
condition with a range of potential causes and symptoms. Standard diagnostic mechanisms …
Machine learning models using mobile game play accurately classify children with autism
Digitally-delivered healthcare is well suited to address current inequities in the delivery of
care due to barriers of access to healthcare facilities. As the COVID-19 pandemic phases …
care due to barriers of access to healthcare facilities. As the COVID-19 pandemic phases …
Challenges and opportunities for machine learning classification of behavior and mental state from images
Computer Vision (CV) classifiers which distinguish and detect nonverbal social human
behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the …
behavior and mental state can aid digital diagnostics and therapeutics for psychiatry and the …
Video‐based real‐time assessment and diagnosis of autism spectrum disorder using deep neural networks
Human action recognition (HAR) in untrimmed videos can make insightful predictions of
human behaviour. Previous work on HAR‐included models trained on spatial and temporal …
human behaviour. Previous work on HAR‐included models trained on spatial and temporal …
Best practice guidelines for citizen science in mental health research: systematic review and evidence synthesis
Partnering with people most affected by mental health problems can transform mental health
outcomes. Citizen science as a research approach enables partnering with the public at a …
outcomes. Citizen science as a research approach enables partnering with the public at a …