DataDEL
收藏arXiv2024-04-16 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2401.17542v2
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资源简介：
DataDEL是由复旦大学整合31个医学中心的数据创建的大型多疾病综合数据集，包含数百万样本，旨在为研究人员提供高质量的数据平台。该数据集覆盖多种任务和疾病类型，支持模型预训练和下游测试，是医疗基础模型研究的关键资源。通过高效利用数据，DataDEL促进了医疗解决方案的发展，强调了数据质量和模型效率的重要性。
DataDEL is a large-scale multi-disease comprehensive dataset developed by Fudan University by integrating data from 31 medical centers. Comprising millions of samples, it is designed to provide researchers with a high-quality data platform. This dataset covers a wide range of tasks and disease types, supports model pre-training and downstream testing, and serves as a critical resource for medical foundation model research. By enabling efficient data utilization, DataDEL promotes the development of medical solutions and underscores the importance of data quality and model efficiency.
提供机构：
复旦大学
创建时间：
2024-01-31
