As a large wave of individuals with autism spectrum disorder (ASD) diagnosed in the 1990s enters adulthood and middle age, knowledge about the patterning of lifetime health problems will become increasingly important for prevention efforts. We retrospectively analyzed diagnostic codes associated with de-identified electronic health records using a machine learning algorithm to characterize diagnostic patterns in decedents with ASD and matched decedent community controls.
Lauren Bishop-Fitzpatrick
Scientists just beginning to understand the unique health needs of adults with autism
In the 1990s, the prevalence of autism spectrum disorder (ASD) among children rose sharply. These children are now entering adulthood, yet physicians and scientists know very little about the health outcomes they might face. Most studies of health have focused on children and adolescents.
New faculty focus: Lauren Bishop-Fitzpatrick
A Q&A with new Waisman Center investigator Lauren Bishop-Fitzpatrick. How did you get into your field of research? Like many people who pursue social work degrees, I always knew that I wanted to spend my career …