COVID Data for Shared Learning (CDSL): A comprehensive, multimodal COVID-19 dataset from HM Hospitales

COVID Data for Shared Learning (CDSL) is a multimodal database comprising de-identified medical data from 4,479 patients who were hospitalized with confirmed or suspected COVID-19 in the Spanish 'HM Hospitales' group from 2019-12-26 to 2021-02-13. The database provides tabular demographic, diagnostic, clinical and treatment information, as well as radiological images in JPG format, namely chest X-ray and computed tomography scans. The primary goal of CDSL is to develop a comprehensive toolkit to support researchers and institutions in building multimodal models for prediction, classification and optimization. CDSL database was promptly shared with the international research community at the onset of the COVID-19 pandemic to promote worldwide collaboration and, ultimately, guide policy decisions and facilitate effective response efforts studies on the disease.

COVID数据共享学习库（CDSL）是一个多模态数据库，其中包含来自西班牙HM Hospitales集团4,479名住院患者的去标识化医疗数据，这些患者于2019年12月26日至2021年2月13日因确诊或疑似COVID-19而入院。该数据库提供了表格形式的流行病学、诊断、临床和治疗信息，以及JPG格式的影像学图像，包括胸部X光片和计算机断层扫描。CDSL的主要目标是开发一个全面的工具包，以支持研究人员和机构构建多模态模型，用于预测、分类和优化。在COVID-19大流行初期，CDSL数据库便迅速与国际研究界共享，旨在促进全球合作，并最终引导政策决策，促进对疾病的有效研究响应。