Machine learning prediction of autism spectrum disorder from a minimal set of medical and background information

JAMA Network Open

2024-08-19

(Press-News.org) About The Study: The machine learning model developed in this study shows promise in the early identification of individuals with an elevated likelihood of autism spectrum disorder, using minimal information, which could affect early diagnosis and intervention strategies.

Corresponding Author: To contact the corresponding author, Kristiina Tammimies, PhD, email kristiina.tammimies@ki.se.

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

(doi:10.1001/jamanetworkopen.2024.29229)

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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Machine learning prediction of autism spectrum disorder from a minimal set of medical and background information

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