Researchers working with the Duke Center for Autism and Brain Development are conducting an innovative study that seeks to harness machine learning techniques to spot potential signs of autism in the electronic health data of young children.
“Duke data scientists, autism researchers, and healthcare professionals are collaborating to help pediatric providers optimize care for children with neurodevelopmental differences. By leveraging routinely collected health data, they aim to address a critical need for efficient, consistent, and objective methods for early autism screening.”
“’We know from previous work in the ACE [Autism Center of Excellence] that certain early childhood medical conditions can be indicative of a future autism diagnosis,’ said Benjamin Goldstein, PhD, director of data science at Duke AI Health and lead investigator on the study.”
–Story by Evan Watson, MLS
