Researchers at Rensselaer Polytechnic Institute explore using AI models to predict challenging behaviors in individuals with Autism Spectrum Disorder (ASD). They found a link between sleep, gastrointestinal health, and challenging behaviors in individuals with profound autism. The study showed that GI issues predicted next-day problematic behaviors with high accuracy. This finding is significant as sleep, and GI problems are common in those with autism.
With ASD affecting 1 in 36 children, it is often accompanied by sleep and immune disorders, GI problems, and sensory sensitivities. These conditions can lead to dangerous behaviors like aggression and self-injury.
The study’s AI models achieved up to 90% accuracy in predicting such episodes for individuals in a residential setting. It identified that both environmental and GI factors are strong predictors of these behaviors. The ability to predict such episodes accurately could significantly enhance the quality of life for individuals with ASD. However, further research is needed to understand the connections between these factors and the behaviors.
The Center for Discovery collected the data for this study, which spanned over a decade and included biological, behavioral, and environmental information.
Ref: Ferina J, Kruger M, Kruger U, et al. Predicting Problematic Behavior in Autism Spectrum Disorder Using Medical History and Environmental Data. Journal of Personalized Medicine. 2023;13(10):1513. doi: https://doi.org/10.3390/jpm13101513
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