Enhancing the Classification of Imbalanced Arabic Medical Questions Using DeepSMOTE

The growing demand for telemedicine has highlighted the need for automated healthcare services, particularly in medical question classification. This study presents a deep learning model designed to address key challenges in telemedicine, including class imbalance and accurate routing of Arabic medi...

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Hauptverfasser: Bushra Al-Smadi, Bassam Hammo, Hossam Faris, Pedro A. Castillo
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-04-01
Schriftenreihe:AI
Schlagworte:
DeepSMOTE
multi-class classification
oversampling techniques
medical questions
Arabic language
Online Zugang:https://www.mdpi.com/2673-2688/6/4/77
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