Using Normalised Compression Distance to Identify Different Profiling Days in Type 1 Diabetic Patients
dc.contributor.author
dc.date.accessioned
2018-10-02T15:08:14Z
dc.date.available
2018-10-02T15:08:14Z
dc.date.issued
2015
dc.identifier.uri
dc.description.abstract
This work is devoted to providing patients and physicians with a novel tool to analyse and extract information for better management of type I diabetes. We use a clustering methodology based on the normalised compression distance to identify different profiles of days. The methodology has been validated using data generated by a simulator of virtual patients, which include an exercise model. Profiling daily data can help physicians and patients cope with information overload and assist in future planning for improved treatments and self-management of diabetes type 1
dc.description.sponsorship
Partially supported by the Spanish Ministry of Science and Innovation through grant DPI 2013-46982-C2-2-R and the Government of Catalonia trough grant
SGR14-1052
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation
DPI2013‐46982‐C2‐2‐R
dc.relation.isformatof
Reproducció digital del document publicat a: https://doi.org/10.1016/j.ifacol.2015.10.170
dc.relation.ispartof
IFAC-PapersOnLine, 2015, vol. 48, núm. 20, p. 383-388
dc.relation.ispartofseries
Articles publicats (D-EEEiA)
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri
dc.subject
dc.title
Using Normalised Compression Distance to Identify Different Profiling Days in Type 1 Diabetic Patients
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.relation.projectID
info:eu-repo/grantAgreement/MINECO//DPI2013-46982-C2-2-R/ES/NUEVOS METODOS PARA LA EFICIENCIA Y SEGURIDAD DEL PANCREAS ARTIFICIAL DOMICILIARIO EN DIABETES TIPO 1/
dc.type.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
dc.contributor.funder
dc.type.peerreviewed
peer-reviewed
dc.relation.FundingProgramme
dc.relation.ProjectAcronym
dc.identifier.eissn
1474-6670