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.
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
(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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Cite Scienmag News
Teresa Odom. (August 19, 2024). Machine learning prediction of autism spectrum disorder from a minimal set of medical and background information. Scienmag. https://scienmag.com/machine-learning-prediction-of-autism-spectrum-disorder-from-a-minimal-set-of-medical-and-background-information/
Teresa Odom. "Machine learning prediction of autism spectrum disorder from a minimal set of medical and background information." Scienmag, 19 August 2024, https://scienmag.com/machine-learning-prediction-of-autism-spectrum-disorder-from-a-minimal-set-of-medical-and-background-information/. Accessed 5 September 2026.
Teresa Odom. "Machine learning prediction of autism spectrum disorder from a minimal set of medical and background information." Scienmag. August 19, 2024. https://scienmag.com/machine-learning-prediction-of-autism-spectrum-disorder-from-a-minimal-set-of-medical-and-background-information/
