Early prediction of autistic spectrum disorder using developmental surveillance data

JAMA Network Open

2024-01-10

(Press-News.org) About The Study: In this study of nearly 1.2 million children, prediction models achieved high performance in predicting the likelihood of autistic spectrum disorder, using information from routine developmental assessments. This tool may be seamlessly integrated in the clinical workflow to improve early identification of children who may benefit from timely interventions.

Authors: Guy Amit, Ph.D., of the KI Research Institute in Kfar Malal, Israel, is the corresponding author.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2023.51052)

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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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.

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Early prediction of autistic spectrum disorder using developmental surveillance data

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