Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/43676
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTornero-Costa, Roberto-
dc.contributor.authorFernandez-Llatas, Carlos-
dc.contributor.authorMARTIN, Niels-
dc.contributor.authorJANSSENSWILLEN, Gert-
dc.contributor.authorVAN HULZEN, Gerard-
dc.contributor.editorJuarez, JM-
dc.contributor.editorFernandez-Llatas, C-
dc.contributor.editorJohnson, O-
dc.contributor.editorKocbek, P-
dc.contributor.editorLarranaga, P-
dc.contributor.editorMARTIN, Niels-
dc.contributor.editorMunoz-Gama, J-
dc.contributor.editorStiglic, G-
dc.contributor.editorSepulveda, M-
dc.contributor.editorVellido, A-
dc.date.accessioned2024-09-05T08:08:14Z-
dc.date.available2024-09-05T08:08:14Z-
dc.date.issued2024-
dc.date.submitted2024-09-04T15:19:39Z-
dc.identifier.citationJuarez, JM; Fernandez-Llatas, C; Bielza, C; Johnson, O; Kocbek, P; Larranaga, P; Martin, N; Munoz-Gama, J; Stiglic, G; Sepulveda, M; Vellido, A (Ed.). EXPLAINABLE ARTIFICIAL INTELLIGENCE AND PROCESS MINING APPLICATIONS FOR HEALTHCARE, XAI-HEALTHCARE 2023 & PM4H 2023, SPRINGER INTERNATIONAL PUBLISHING AG, p. 107 -117-
dc.identifier.isbn978-3-031-54302-9; 978-3-031-54303-6-
dc.identifier.issn1865-0929-
dc.identifier.urihttp://hdl.handle.net/1942/43676-
dc.description.abstractThere are several open-source Process Mining tools available for research purposes. PMApp is an Interactive Process Mining toolkit developed to facilitate process discovery and analysis in healthcare. PMApp is designed to introduce healthcare professionals to Process Mining, simplifying the learning process by reducing the need for extensive coding knowledge. With PMApp, users can easily apply process mining techniques to healthcare data without the steep learning curve typically associated with coding languages. At the same time, bupaR is an open-source, integrated suite of R-packages for handling and analysing process data. bupaR provides support for different stages in process analysis and offers the flexibility of coding tools. Given the complementarity between both tools, this paper outlines how PMApp has been extended to integrate R code and bupaR functionalities. This integration provides an opportunity to extend research in process mining by combining two powerful tools. The paper will showcase the feasibility of this integration and demonstrate how researchers and clinicians can leverage the combined capabilities of Interactive Process Mining and scripting open-source tools to gain insights into complex healthcare processes.-
dc.language.isoen-
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG-
dc.relation.ispartofseriesCommunications in Computer and Information Science-
dc.rightsThe Author(s), under exclusive license to Springer Nature Switzerland AG 2024-
dc.subject.otherInteractive Process Mining in Healthcare-
dc.subject.otherInterfaces for Process Oriented Data Science-
dc.subject.otherProcess Mining-
dc.subject.otherR-
dc.subject.otherInteractive Process Mining-
dc.titleFrom Script to Application. A bupaR Integration into PMApp for Interactive Process Mining Research-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateJUN 15, 2023-
local.bibliographicCitation.conferencename21st Artificial Intelligence in Medicine (AIME) Conference / 3rd International Workshop on Explainable Artificial Intelligence in Healthcare (XAI-Healthcare) / 1st International Workshop on Process Mining Applications for Healthcare (PM4H)-
local.bibliographicCitation.conferenceplacePortoroz, SLOVENIA-
dc.identifier.epage117-
dc.identifier.spage107-
dc.identifier.volume2020-
local.format.pages11-
local.bibliographicCitation.jcatC1-
dc.description.notesTornero-Costa, R (corresponding author), Univ Politecn Valencia, Valencia 46022, Spain.-
dc.description.notesrotorcos@itaca.upv.es; carferll@itaca.upv.es; niels.martin@uhasselt.be;-
dc.description.notesgert.janssenswillen@uhasselt.be; gerard.vanhulzen@uhasselt.be-
local.publisher.placeGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1007/978-3-031-54303-6_11-
dc.identifier.isi001265203100011-
dc.contributor.orcidFernandez-Llatas, Carlos/0000-0002-2819-5597; Martin,-
dc.contributor.orcidNiels/0000-0003-3279-3853-
dc.identifier.eissn1865-0937-
local.provider.typewosris-
local.bibliographicCitation.btitleEXPLAINABLE ARTIFICIAL INTELLIGENCE AND PROCESS MINING APPLICATIONS FOR HEALTHCARE, XAI-HEALTHCARE 2023 & PM4H 2023-
local.description.affiliation[Tornero-Costa, Roberto; Fernandez-Llatas, Carlos] Univ Politecn Valencia, Valencia 46022, Spain.-
local.description.affiliation[Martin, Niels; Janssenswillen, Gert; van Hulzen, Gerhardus A. W. M.] Hasselt Univ, B-3500 Hasselt, Belgium.-
local.description.affiliation[Fernandez-Llatas, Carlos] CLINTEC Karolinska Inst, Stockholm, Sweden.-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.contributorTornero-Costa, Roberto-
item.contributorFernandez-Llatas, Carlos-
item.contributorMARTIN, Niels-
item.contributorJANSSENSWILLEN, Gert-
item.contributorVAN HULZEN, Gerard-
item.contributorJuarez, JM-
item.contributorFernandez-Llatas, C-
item.contributorJohnson, O-
item.contributorKocbek, P-
item.contributorLarranaga, P-
item.contributorMunoz-Gama, J-
item.contributorStiglic, G-
item.contributorSepulveda, M-
item.contributorVellido, A-
item.accessRightsEmbargoed Access-
item.fullcitationTornero-Costa, Roberto; Fernandez-Llatas, Carlos; MARTIN, Niels; JANSSENSWILLEN, Gert & VAN HULZEN, Gerard (2024) From Script to Application. A bupaR Integration into PMApp for Interactive Process Mining Research. In: Juarez, JM; Fernandez-Llatas, C; Bielza, C; Johnson, O; Kocbek, P; Larranaga, P; Martin, N; Munoz-Gama, J; Stiglic, G; Sepulveda, M; Vellido, A (Ed.). EXPLAINABLE ARTIFICIAL INTELLIGENCE AND PROCESS MINING APPLICATIONS FOR HEALTHCARE, XAI-HEALTHCARE 2023 & PM4H 2023, SPRINGER INTERNATIONAL PUBLISHING AG, p. 107 -117.-
item.embargoEndDate2025-02-26-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
978-3-031-54303-6.pdf
  Restricted Access
Published version2.57 MBAdobe PDFView/Open    Request a copy
ACFrOgATFeuAMvbqH6eRviuhv_Rq2r5O4tPKM9cEWg3-HWYe8bIRvyti6-z8Vy7xtT.pdf
  Until 2025-02-26
Peer-reviewed author version2.03 MBAdobe PDFView/Open    Request a copy
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.