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
Repositori URV