Early detection of adults ADHD using electronic health records: A machine learning study

Omar Hamed; Farzaneh Etminani; Peter Jacobsson; Thomas Davidsson

doi:10.1192/j.eurpsy.2026.10171

Accepted manuscript

Early detection of adults ADHD using electronic health records: A machine learning study

Published online by Cambridge University Press: 16 February 2026

and

Omar Hamed*: Affiliation:
Center for Applied Intelligent Systems Research, School of Information Technology, Halmstad University, Halmstad, Sweden
Farzaneh Etminani: Affiliation:
Center for Applied Intelligent Systems Research, School of Information Technology, Halmstad University, Halmstad, Sweden Department of Research and Development, Region Halland, Halmstad, Sweden
Peter Jacobsson: Affiliation:
Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Sektionskansliet: Blå Stråket 15, vån3, SU/Sahlgrenska University Hospital, Gothenburg, Sweden Region Halland, Varberg, Sweden
Thomas Davidsson: Affiliation:
SHAARPEC Inc USA
*: Corresponding author: Omar Hamed; Email: omar.hamed@hh.se

Article contents

Abstract

Abstract

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Keywords

Adult ADHD EHR Machine Learning Transformers Explainable AI

Information

Type: Research Article
Information: European Psychiatry , Accepted manuscript , pp. 1 - 22

DOI: https://doi.org/10.1192/j.eurpsy.2026.10171 [Opens in a new window]
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