New Arabic Medical Dataset for Diseases Classification

The Arabic language suffers from a great shortage of datasets suitable for training deep learning models, and the existing ones include general non-specialized classifications. In this work, we introduce new Arab medical dataset, which includes two thousand documents collected several websites, in addition to Medical Encyclopedia. dataset was built task classifying texts 10 classes (Blood, Bone, Cardiovascular, Ear, Endocrine, Eye, Gastrointestinal, Immune, Liver Nephrological) diseases. Experiments on were performed by fine-tuning three pre-trained models: BERT Google, Arabert that based with large corpus, AraBioNER corpus.