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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Bushra Al-Smadi, Bassam Hammo, Hossam Faris, Pedro A. Castillo
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2025-04-01
Collection:AI
Sujets:
DeepSMOTE
multi-class classification
oversampling techniques
medical questions
Arabic language
Accès en ligne:https://www.mdpi.com/2673-2688/6/4/77
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires