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.共享学习新冠数据集（COVID Data for Shared Learning, CDSL）是一个多模态数据库，收录了2019年12月26日至2021年2月13日期间，西班牙HM医院集团（HM Hospitales）内4479名因确诊或疑似新冠感染住院患者的去标识化医疗数据。该数据集包含结构化表格形式的人口统计学、诊断学、临床及治疗相关信息，同时提供JPG格式的放射影像学资料，具体包括胸部X线片与计算机断层扫描（computed tomography）影像。该数据集的核心目标是打造一套完整工具集，以支持研究人员与科研机构构建用于预测、分类及优化任务的多模态模型。在新冠疫情暴发之初，CDSL数据集便快速向国际科研界公开共享，以期推动全球科研协作，最终为疾病相关政策制定提供指导，并助力针对该疾病的高效疫情应对研究工作。

搜集汇总

背景与挑战

背景概述

CDSL是一个来自西班牙HM Hospitales的多模态COVID-19数据集，包含4,479名住院患者的去标识化医疗数据（如人口统计、诊断、生命体征）和超过140万张放射影像（X光和CT扫描）。该数据集旨在为研究人员提供全面的结构化数据和影像资源，以支持多模态模型的开发，促进全球协作和COVID-19研究。