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📝A selection of sources with medical datasets
The international healthcare system generates a wealth of medical data every day that (at least in theory) can be used for machine learning.
Here are some sources with medical datasets:
1. The Cancer Imaging Archive (TCIA) funded by the US National Cancer Institute (NCI) is a publicly accessible repository of radiological and histopathological images
2. National Covid-19 Chest Imaging Database (NCCID), part of the NHS AI Lab, contains radiographs, MRIs, and Chest CT scans of hospital patients across the UK. It is one of the largest archives of its kind, with 27 hospitals and foundations contributing.
3. Medicare Provider Catalog collects official data from Centers for Medicare and Medicaid Services (CMS). It covers many different topics, from the quality of care in different hospitals, rehabilitation centers, hospices and other healthcare facilities, to the cost of a visit and information about doctors and clinicians. The data can be viewed in a browser, download specific datasets in CSV format, or connect your own applications to the website using the API.
4. Older Adults Health Data Collection on Data.gov consists of 96 datasets managed by the US federal government. Its main purpose is to collect information about the health of people over 60 in the context of the Covid-19 pandemic and beyond. Organizations involved in maintaining the collection include the US Department of Health and Human Services, the Department of Veterans Affairs, the Centers for Disease Control and Prevention (CDC), and others. Datasets can be downloaded in various formats: HTML, CSV, XSL, JSON, XML and RDF.
5.The Cancer Genome Atlas (TCGA) is a major genomics database covering 33 disease types, including 10 rare ones.
6. Surveillance, Epidemiology, and End Results (SEER) is the most reliable source of cancer statistics in the United States, designed to reduce the proportion of cancer in the population. Its database is maintained by the Surveillance Research Program (SRP), which is part of the Division of Cancer Control and Population Sciences (DCCPS) of the National Cancer Institute.
www.cancer.gov The Cancer Genome Atlas Program (TCGA) The Cancer Genome Atlas (TCGA) is a landmark cancer genomics program that sequenced and molecularly characterized over 11,000 cases of primary cancer samples. Learn more about how the program transformed the cancer research community and beyond.
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