Diagnosing attention-deficit hyperactivity disorder (ADHD) using artificial intelligence: a clinical study in the UK
- DOI
- 10.15488/17478
- Published
- 2023
- Container
- Not recorded
- Publisher
- Lausanne : Frontiers Research Foundation
- Open access
- yes
Credibility signals
limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.15488/17478,
title = {Diagnosing attention-deficit hyperactivity disorder (ADHD) using artificial intelligence: a clinical study in the UK},
author = {Chen, Tianhua and Tachmazidis, Ilias and Batsakis, Sotiris and Adamou, Marios and Papadakis, Emmanuel and Antoniou, Grigoris},
year = {2023},
doi = {10.15488/17478},
url = {https://doi.org/10.15488/17478}
}RIS
TY - JOUR TI - Diagnosing attention-deficit hyperactivity disorder (ADHD) using artificial intelligence: a clinical study in the UK AU - Chen, Tianhua AU - Tachmazidis, Ilias AU - Batsakis, Sotiris AU - Adamou, Marios AU - Papadakis, Emmanuel AU - Antoniou, Grigoris PY - 2023 DO - 10.15488/17478 UR - https://doi.org/10.15488/17478 ER -
APA
Tianhua, C., Ilias, T., Sotiris, B., Marios, A., Emmanuel, P., & Grigoris, A. (2023). Diagnosing attention-deficit hyperactivity disorder (ADHD) using artificial intelligence: a clinical study in the UK. https://doi.org/10.15488/17478
Source records
- datacite · retrieved 2026-09-25T18:49:39.179Z