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    <identifier identifierType="DOI">10.48788/DVUA/VHVDAJ</identifier>
    <creators><creator><creatorName>Denkov, Ivan</creatorName><nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">0009-0007-7989-2169</nameIdentifier><affiliation>(V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine)</affiliation></creator></creators>
    <titles>
        <title>Cerebrovascular Patients Data for Prognosis — collection of anonymized data about patients in the cardiology department</title>
    </titles>
    <publisher>DataverseUA</publisher>
    <publicationYear>2026</publicationYear>
    <resourceType resourceTypeGeneral="Dataset"/>
    
    <descriptions>
        <description descriptionType="Abstract">The dataset includes data from 9544 patients of the cardiology department, obtained from a depersonalized fragment of the Aesculap patient visit database. Each patient&apos;s data is represented as a sparse binary 1436-dimensional vector. 1 more dimension is added to each vector - the class label. The dataset is intended for testing, validation and comparative analysis of algorithms that solve the classification problem. The dataset is suitable for use in educational purposes and scientific research.</description>
    </descriptions>
    <contributors><contributor contributorType="ContactPerson"><contributorName>Denkov, Ivan</contributorName><affiliation>(V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine)</affiliation></contributor></contributors>
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