Principal Investigators:
Whitney Guthrie PhD, Robert Schultz PhD
Department: Center for Autism Research, Children’s Hospital of Philadelphia
Services Provided: Data Analysis, Publication Lead
Publications: Under Review for INSAR 2020
Description:
Autism specialists are in short supply and waitlists for patients to be definitively diagnosed can be very long. An automated screening tool that generates reliable predictions of whether a patient is likely to have autism spectrum disorder could streamline the process. We collaborated with Dr. Whitney Guthrie and Dr. Robert Schultz to conduct a retrospective study of 1086 patients with gold standard autism diagnosis and electronic health record data to develop machine learning methods to generate a score that will indicate the likelihood that a given patient has autism.
