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

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DataCite Commons2024-10-25 更新2025-04-16 收录
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https://physionet.org/content/covid-data-shared-learning/1.0.0/
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资源简介:
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.
提供机构:
PhysioNet
创建时间:
2024-09-06
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