pMineR: An innovative R library for performing process mining in medicine

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dc.catalogadorpau
dc.contributor.authorGatta, R.
dc.contributor.authorLenkowicz, J.
dc.contributor.authorVallati, M.
dc.contributor.authorRojas, E.
dc.contributor.authorDamiani, A.
dc.contributor.authorSacchi, L.
dc.contributor.authorDe Bari, B.
dc.contributor.authorDagliati, A.
dc.contributor.authorFernandez-Llatas, C.
dc.contributor.authorMontesi, M.
dc.contributor.authorMarchetti, A.
dc.contributor.authorCastellano, M.
dc.contributor.authorValentini, V.
dc.date.accessioned2024-01-19T19:22:46Z
dc.date.available2024-01-19T19:22:46Z
dc.date.issued2017
dc.description.abstractProcess Mining is an emerging discipline investigating tasks related with the automated identification of process models, given realworld data (Process Discovery). The analysis of such models can provide useful insights to domain experts. In addition, models of processes can be used to test if a given process complies (Conformance Checking) with specifications. For these capabilities, Process Mining is gaining importance and attention in healthcare. In this paper we introduce pMineR, an R library specifically designed for performing Process Mining in the medical domain, and supporting human experts by presenting processes in a human-readable way. © Springer International Publishing AG 2017.
dc.fuente.origenORCID-ene24
dc.identifier.doi10.1007/978-3-319-59758-4_42
dc.identifier.issn0717-6228
dc.identifier.urihttps://doi.org/10.1007/978-3-319-59758-4_42
dc.identifier.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-85021642333&partnerID=MN8TOARS
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/80853
dc.information.autorucEscuela de Medicina; Rojas Cordoba, Eric Eduardo; 0000-0002-2570-1861; 224862
dc.language.isoen
dc.nota.accesoContenido parcial
dc.relation.ispartofArtificial Intelligence in Medicine (AIME) (16° ; 2017 ; Vienna, Austria)
dc.rightsacceso restringido
dc.subjectDecision support systemes_ES
dc.subjectProcess mininges_ES
dc.subjectRes_ES
dc.titlepMineR: An innovative R library for performing process mining in medicinees_ES
dc.typecapítulo de libro
dc.volumen10259
sipa.codpersvinculados224862
sipa.trazabilidadORCID;2024-01-08
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