Mostra el registre d'ítem simple
Characterizing chronic disease and polymedication prescription patterns from electronic health records
dc.contributor.author | Zamora, Martí |
dc.contributor.author | Baradad, Manel |
dc.contributor.author | Amado, Ester |
dc.contributor.author | Cordomí, Sílvia |
dc.contributor.author | Limón, Esther |
dc.contributor.author | Ribera, Juliana |
dc.contributor.author | Arias Vicente, Marta |
dc.contributor.author | Gavaldà Mestre, Ricard |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
dc.date.accessioned | 2016-02-10T13:17:39Z |
dc.date.available | 2016-02-10T13:17:39Z |
dc.date.issued | 2015 |
dc.identifier.citation | Zamora, M., Baradad, M., Amado, E., Cordomí, S., Limón, E., Ribera, J., Arias, M., Gavaldà, R. Characterizing chronic disease and polymedication prescription patterns from electronic health records. A: IEEE International Conference on Data Science and Advanced Analytics. "Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics". Paris: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 1-9. |
dc.identifier.isbn | 978-1-4673-8273-1 |
dc.identifier.uri | http://hdl.handle.net/2117/82778 |
dc.description.abstract | Population aging in developed countries brings an increased prevalence of chronic disease and of polymedication-patients with several prescribed types of medication. Attention to chronic, polymedicated patients is a priority for its high cost and the associated risks, and tools for analyzing, understanding, and managing this reality are becoming necessary. We describe a prototype of a system for discovering, analyzing, and visualizing the co-occurrence of diagnostics, interventions, and medication prescriptions in a large patient database. The final tool is intended to be used both by health managers and planners and for primary care clinicians in direct contact with patients (for example for detecting unusual disease patterns and incorrect or missing medication). At the core of the analysis module there is a representation of diagnostics and medications as a hypergraph, and the most crucial functionalities rely on hypergraph transversal/variants of association rule discovery methods, with particular emphasis on discovering surprising or alarming combinations. The test database comes from the primary care system in the area of Barcelona for 2013, with over 1.6 million potential patients and almost 20 million diagnostics and prescriptions. |
dc.format.extent | 9 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació |
dc.subject.lcsh | Diagnosis -- Data processing |
dc.subject.lcsh | Data mining |
dc.subject.other | Diseases |
dc.subject.other | Electronic health records |
dc.subject.other | Graph theory |
dc.subject.other | Patient diagnosis |
dc.title | Characterizing chronic disease and polymedication prescription patterns from electronic health records |
dc.type | Conference report |
dc.subject.lemac | Diagnòstic -- Informàtica |
dc.subject.lemac | Mineria de dades |
dc.contributor.group | Universitat Politècnica de Catalunya. LARCA - Laboratori d'Algorísmia Relacional, Complexitat i Aprenentatge |
dc.identifier.doi | 10.1109/DSAA.2015.7344870 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7344870 |
dc.rights.access | Open Access |
local.identifier.drac | 17501300 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Zamora, M.; Baradad, M.; Amado, E.; Cordomí, S.; Limón, E.; Ribera, J.; Arias, M.; Gavaldà, R. |
local.citation.contributor | IEEE International Conference on Data Science and Advanced Analytics |
local.citation.pubplace | Paris |
local.citation.publicationName | Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics |
local.citation.startingPage | 1 |
local.citation.endingPage | 9 |