Integrating explainable AI with clinical features to enhance ADHD diagnostic understanding
IntroductionAttention Deficit Hyperactivity Disorder (ADHD) in adults remains challenging to diagnose accurately, with over- and under-diagnosis common due to reliance on subjective clinical judgement. Although machine learning (ML) tools have shown promise in improving diagnostic accuracy, their li...
I tiakina i:
| Ngā kaituhi matua: | , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Frontiers Media S.A.
2025-11-01
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| Rangatū: | Frontiers in Psychiatry |
| Ngā marau: | |
| Urunga tuihono: | https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1706216/full |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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