[HTML][HTML] Detecting developmental delay and autism through machine learning models using home videos of Bangladeshi children: development and validation study
Background Autism spectrum disorder (ASD) is currently diagnosed using qualitative
methods that measure between 20-100 behaviors, can span multiple appointments with
trained clinicians, and take several hours to complete. In our previous work, we
demonstrated the efficacy of machine learning classifiers to accelerate the process by
collecting home videos of US-based children, identifying a reduced subset of behavioral
features that are scored by untrained raters using a machine learning classifier to determine�…
methods that measure between 20-100 behaviors, can span multiple appointments with
trained clinicians, and take several hours to complete. In our previous work, we
demonstrated the efficacy of machine learning classifiers to accelerate the process by
collecting home videos of US-based children, identifying a reduced subset of behavioral
features that are scored by untrained raters using a machine learning classifier to determine�…
[PDF][PDF] Detecting developmental delay and autism through machine learning models on home videos of Bangladeshi children
Abstract Background: Autism Spectrum Disorder (ASD) is currently diagnosed using
qualitative methods that measure between 20-100 behaviors, can span multiple
appointments with trained clinicians and take several hours to complete. In our previous
work, we demonstrated the efficacy of machine learning classifiers to accelerate the process
by collecting home videos of American children, identifying a reduced subset of behavioral
features which are scored by untrained raters and using a machine learning classifier to�…
qualitative methods that measure between 20-100 behaviors, can span multiple
appointments with trained clinicians and take several hours to complete. In our previous
work, we demonstrated the efficacy of machine learning classifiers to accelerate the process
by collecting home videos of American children, identifying a reduced subset of behavioral
features which are scored by untrained raters and using a machine learning classifier to�…
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