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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 …
Multi-omics data integration methods and their applications in psychiatric disorders
To study mental illness and health, in the past researchers have often broken down their
complexity into individual subsystems (eg, genomics, transcriptomics, proteomics, clinical …
complexity into individual subsystems (eg, genomics, transcriptomics, proteomics, clinical …
Impacts of 5G Machine Learning Techniques on Telemedicine and Social Media Professional Connection in Healthcare
The healthcare industry is undergoing a transformation due to the convergence of advanced
technologies. This chapter explores the impact of 5G connectivity, machine learning, and …
technologies. This chapter explores the impact of 5G connectivity, machine learning, and …
[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 …
Annual Research Review: Translational machine learning for child and adolescent psychiatry
Children and adolescents could benefit from the use of predictive tools that facilitate
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …
personalized diagnoses, prognoses, and treatment selection. Such tools have not yet been …
[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 …
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] Blockchain-based crowdsourced deep reinforcement learning as a service
Abstract Deep Reinforcement Learning (DRL) has emerged as a powerful paradigm for
solving complex problems. However, its full potential remains inaccessible to a broader …
solving complex problems. However, its full potential remains inaccessible to a broader …