Empirically derived symptom profiles in adults with attention-Deficit/hyperactivity disorder: An unsupervised machine learning approach-Reference-Cited by-同舟云学术

Empirically derived symptom profiles in adults with attention-Deficit/hyperactivity disorder: An unsupervised machine learning approach

Published:2024-04-24 Issue: Volume: Page:1-10
ISSN:2327-9095
Container-title:Applied Neuropsychology: Adult
language:en
Short-container-title:Applied Neuropsychology: Adult

Author:

Rodriguez Violeta J.¹^ORCID,Finley John-Christopher A.²,Liu Qimin³,Alfonso Demy⁴,Basurto Karen S.⁴,Oh Alison⁴,Nili Amanda⁴,Paltell Katherine C.⁴,Hoots Jennifer K.⁴,Ovsiew Gabriel P.⁴,Resch Zachary J.⁴,Ulrich Devin M.⁴,Soble Jason R.⁴⁵^ORCID

Affiliation:

1. Department of Psychology, University of Illinois at Urbana-Champaign, Illinois, USA

2. Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA

3. Department of Brain and Psychological Sciences, Boston, Massachusetts, USA

4. Department of Psychiatry, University of Illinois at Chicago, Illinois, USA

5. Department of Neurology, University of Illinois at Chicago, Illinois, USA

Funder

This work was supported by the Foundation for the National Institutes of Health

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23279095.2024.2343022

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4. The Association Between Race/Ethnicity and Socioeconomic Factors and the Diagnosis and Treatment of Children with Attention-Deficit Hyperactivity Disorder

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