阿拉伯医学数据集

阿拉伯医学数据集是由圣彼得堡国立信息技术机械与光学大学创建，包含2000篇从多个阿拉伯医学网站和阿拉伯医学百科全书收集的医学文档。该数据集专为文本分类任务设计，涵盖10个类别（血液、骨骼、心血管、耳、内分泌、眼、胃肠、免疫、肝脏和肾病学）疾病。创建过程中采用了Python语言的多个库进行半自动化收集。数据集主要应用于支持医学决策，帮助医生诊断和治疗，以及训练深度学习模型以提高医疗质量。

The Arabic Medical Dataset was developed by Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University). It consists of 2000 medical documents collected from various Arabic medical websites and Arabic medical encyclopedias. This dataset is specifically tailored for text classification tasks, covering 10 disease categories: hematology, orthopedics, cardiology, otology, endocrinology, ophthalmology, gastroenterology, immunology, hepatology, and nephrology. It was semi-automatically collected using multiple Python libraries during its construction. The dataset is primarily utilized to support medical decision-making, assist clinicians in diagnosis and treatment, and train deep learning models to enhance the quality of healthcare.