From machine learning to deep learning in attention deficit hyperactivity disorder diagnosis: A bibliometric analysis of global trends (2011-2024).
- DOI
- 10.1080/23279095.2026.2707490
- Published
- 2026 Aug 1
- Container
- Applied neuropsychology. Adult
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/23279095.2026.2707490,
title = {From machine learning to deep learning in attention deficit hyperactivity disorder diagnosis: A bibliometric analysis of global trends (2011-2024).},
author = {Khemchandani M and Deshmukh MP},
year = {2026},
journal = {Applied neuropsychology. Adult},
doi = {10.1080/23279095.2026.2707490},
url = {https://doi.org/10.1080/23279095.2026.2707490}
}RIS
TY - JOUR TI - From machine learning to deep learning in attention deficit hyperactivity disorder diagnosis: A bibliometric analysis of global trends (2011-2024). AU - Khemchandani M AU - Deshmukh MP PY - 2026 JO - Applied neuropsychology. Adult DO - 10.1080/23279095.2026.2707490 UR - https://doi.org/10.1080/23279095.2026.2707490 ER -
APA
M, K., & MP, D. (2026). From machine learning to deep learning in attention deficit hyperactivity disorder diagnosis: A bibliometric analysis of global trends (2011-2024).. Applied neuropsychology. Adult. https://doi.org/10.1080/23279095.2026.2707490
Source records
- pubmed · retrieved 2026-09-26T05:30:13.518Z