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eHealth_hclinic_clarus.zip

  • Datos identificativos

    Identificador: PC:1549
    Autores:
    Santiago Iriso (Fundació Clínic per la Recerca Biomèdica) and David Sánchez (Universitat Rovira i Virgili)
    Resumen:
    This dataset simulates a subset of a Passive Medical Record Database which contains the whole medical history of the patients of a big hospital. These patients have become “passive” due to the lack of encounters over a specific period of time or due to the death or change of residence of the patient, etc. Specifically, The “eHealth_fcrb_clarus” dataset represents coherent clinical data obtained from the discharge reports over one year (2014). The dataset has been synthetically generated from the real data of the “Hospital Clínic de Barcelona”. All the actual data are artificial and random, even though they preserve some statistical properties of the original data. Since all the data are synthetic, this dataset should not be used in any kind of medical research. Its only purpose is to provide an artificial but realistic medical dataset (with regard to data structure and distribution of variables) that can be used as input for the design and evaluation of privacy-preserving mechanisms.
  • Otros:

    Materia: eHealth
    Derechos de acceso: info:eu-repo/semantics/openAccess
    Identificador persistente: http://hdl.handle.net/20.500.11797/PC-1549
    Publicado por (editorial): Universitat Rovira i Virgili
    Publicaciones relacionadas: https://doi.org/10.3030/644024
    Resumen: This dataset simulates a subset of a Passive Medical Record Database which contains the whole medical history of the patients of a big hospital. These patients have become “passive” due to the lack of encounters over a specific period of time or due to the death or change of residence of the patient, etc. Specifically, The “eHealth_fcrb_clarus” dataset represents coherent clinical data obtained from the discharge reports over one year (2014). The dataset has been synthetically generated from the real data of the “Hospital Clínic de Barcelona”. All the actual data are artificial and random, even though they preserve some statistical properties of the original data. Since all the data are synthetic, this dataset should not be used in any kind of medical research. Its only purpose is to provide an artificial but realistic medical dataset (with regard to data structure and distribution of variables) that can be used as input for the design and evaluation of privacy-preserving mechanisms.
    Tipos de datos: SQL Scripts
    Handle: http://hdl.handle.net/20.500.11797/PC-1549
    Departamento: Enginyeria Informàtica i Matemàtiques
    Tipo de documento: info:eu-repo/semantics/other
    Código de proyecto: H2020-ICT-2014-1-644024
    Fecha alta repositorio: 2016-05-31
    Autor: Santiago Iriso (Fundació Clínic per la Recerca Biomèdica) and David Sánchez (Universitat Rovira i Virgili)
    Palabras clave: eHealth, medical records, synthetic data, privacy-preservinc mechanism
    Año de publicación de la dataset: 2016
    Acción del progama de financiación: H2020
    Título del conjunto de datos: eHealth_hclinic_clarus.zip
    Acrónimo: CLARUS
  • Palabras clave:

    eHealth
    eHealth, medical records, synthetic data, privacy-preservinc mechanism
  • Documentos:

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