Predictive Value of Autism Detection Models Based on EHR Data Collected Before Age 1 | JAMA Network Open

EMBARGOED FOR RELEASE: 11 A.M. (ET), THURSDAY, FEBRUARY 2, 2023

Media advisory: The full study is linked to this news release.

Free access to the full-text article This link is live http://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2022.54303?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=020223

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About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication.

About The Study: In this diagnostic study of an autism screening test including 45,000 children, electronic health record (EHR)-based autism detection achieved clinically meaningful accuracy by age 30 days, improving by age 1. This automated approach could be integrated with caregiver surveys to improve the accuracy of early autism screening. 

Authors: Matthew M. Engelhard, M.D., Ph.D., of the Duke University School of Medicine in Durham, North Carolina, is the corresponding author. 

(doi:10.1001/jamanetworkopen.2022.54303)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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SOURCES: https://media.jamanetwork.com/news-item/predictive-value-of-autism-detection-models-based-on-ehr-data-collected-before-age-1/; https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2800898; http://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2022.54303?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=020223

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