Matèria: eHealth
Drets d'accés: info:eu-repo/semantics/openAccess
Identificador persistent: http://hdl.handle.net/20.500.11797/PC-1549
Publicat per (editora): Universitat Rovira i Virgili
Publicacions relacionades: https://doi.org/10.3030/644024
Resum: 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.
Tipus de dades: SQL Scripts
Handle: http://hdl.handle.net/20.500.11797/PC-1549
Departament: Enginyeria Informàtica i Matemàtiques
Tipus de document: info:eu-repo/semantics/other
Codi de projecte: H2020-ICT-2014-1-644024
Data alta repositori: 2016-05-31
Autor: Santiago Iriso (Fundació Clínic per la Recerca Biomèdica) and David Sánchez (Universitat Rovira i Virgili)
Paraules clau: eHealth, medical records, synthetic data, privacy-preservinc mechanism
Any de publicació de la dataset: 2016
Acció del programa de finançament: H2020
Títol del conjunt de dades: eHealth_hclinic_clarus.zip
Acrònim: CLARUS
Repositori URV