Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32635
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dc.contributor.authorMunoz-Gama, Jorge-
dc.contributor.authorMARTIN, Niels-
dc.contributor.authorFernandez-Llatas, Carlos-
dc.contributor.authorJohnson, Owen-
dc.contributor.authorSepúlveda, Marcos-
dc.date.accessioned2020-11-18T15:25:44Z-
dc.date.available2020-11-18T15:25:44Z-
dc.date.issued2020-
dc.date.submitted2020-11-11T08:15:29Z-
dc.identifier.citationJournal of biomedical informatics, 109 (Art N° 103551)-
dc.identifier.urihttp://hdl.handle.net/1942/32635-
dc.language.isoen-
dc.rights2020 Elsevier Inc. This article is made available under the Elsevier license (http://www.elsevier.com/open-access/userlicense/1.0/).-
dc.titleInnovative informatics methods for process mining in health care-
dc.typeJournal Contribution-
dc.identifier.volume109-
local.format.pages2-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr103551-
dc.identifier.doi10.1016/j.jbi.2020.103551-
local.provider.typeCrossRef-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.accessRightsOpen Access-
item.fullcitationMunoz-Gama, Jorge; MARTIN, Niels; Fernandez-Llatas, Carlos; Johnson, Owen & Sepúlveda, Marcos (2020) Innovative informatics methods for process mining in health care. In: Journal of biomedical informatics, 109 (Art N° 103551).-
item.fulltextWith Fulltext-
item.contributorMunoz-Gama, Jorge-
item.contributorMARTIN, Niels-
item.contributorFernandez-Llatas, Carlos-
item.contributorJohnson, Owen-
item.contributorSepúlveda, Marcos-
item.validationvabb 2022-
crisitem.journal.issn1532-0464-
crisitem.journal.eissn1532-0480-
Appears in Collections:Research publications
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