Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/23330
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dc.contributor.authorHamami, Dalilaen_UK
dc.contributor.authorBaghdad, Atmanien_UK
dc.contributor.authorShankland, Carronen_UK
dc.date.accessioned2017-02-09T23:25:33Z-
dc.date.available2017-02-09T23:25:33Z-
dc.date.issued2017-05en_UK
dc.identifier.urihttp://hdl.handle.net/1893/23330-
dc.description.abstractThe problem of selecting determinant features generating appropriate model structure is a challenge in epidemiological modelling. Disease spread is highly complex, and experts develop their understanding of its dynamic over years. There is an increasing variety and volume of epidemiological data which adds to the potential confusion. We propose here to make use of that data to better understand disease systems. Decision tree techniques have been extensively used to extract pertinent information and improve decision making. In this paper, we propose an innovative structured approach combining decision tree induction with Bio-PEPA computational modelling, and illustrate the approach through application to tuberculosis. By using decision tree induction, the enhanced Bio-PEPA model shows considerable improvement over the initial model with regard to the simulated results matching observed data. The key finding is that the developer expresses a realistic predictive model using relevant features, thus considering this approach as decision support, empowers the epidemiologist in his policy decision making.en_UK
dc.language.isoenen_UK
dc.publisherIGI Global for Information Resources Management Associationen_UK
dc.relationHamami D, Baghdad A & Shankland C (2017) Decision Support Based on Bio-PEPA Modeling and Decision Tree Induction: A New Approach, Applied to a Tuberculosis Case Study. International Journal of Information Systems in the Service Sector, 9 (2), pp. 71-101. https://doi.org/10.4018/IJISSS.2017040104en_UK
dc.rights[IJISSS.pdf] The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights[shankland IJSSS.pdf] The publisher has granted permission for use of this work in this Repository. Published in International Journal of Information Systems in the Service Sector, Volume 9, Issue 2, April-June 2017, pp. 71-101: https://doi.org/10.1634/theoncologist.2016-0371en_UK
dc.rights.urihttps://storre.stir.ac.uk/STORREEndUserLicence.pdfen_UK
dc.subjectDecision supporten_UK
dc.subjectdecision tree inductionen_UK
dc.subjectdata miningen_UK
dc.subjectBio-PEPA modellingen_UK
dc.subjectmodelling and simulationen_UK
dc.subjecttuberculosisen_UK
dc.subjectepidemiologyen_UK
dc.subjectrefinementen_UK
dc.subjectoptimisationen_UK
dc.titleDecision Support Based on Bio-PEPA Modeling and Decision Tree Induction: A New Approach, Applied to a Tuberculosis Case Studyen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2017-05-31en_UK
dc.rights.embargoreason[IJISSS.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.4018/IJISSS.2017040104en_UK
dc.citation.jtitleInternational Journal of Information Systems in the Service Sectoren_UK
dc.citation.issn1935-5696en_UK
dc.citation.issn1935-5688en_UK
dc.citation.volume9en_UK
dc.citation.issue2en_UK
dc.citation.spage71en_UK
dc.citation.epage101en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailces@cs.stir.ac.uken_UK
dc.contributor.affiliationUniversity of Oran 1 Ahmed Ben Bellaen_UK
dc.contributor.affiliationUniversity of Oran 1 Ahmed Ben Bellaen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000396651700004en_UK
dc.identifier.scopusid2-s2.0-85012111020en_UK
dc.identifier.wtid567581en_UK
dc.contributor.orcid0000-0001-7672-2884en_UK
dc.date.accepted2016-04-18en_UK
dcterms.dateAccepted2016-04-18en_UK
dc.date.filedepositdate2016-06-16en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorHamami, Dalila|en_UK
local.rioxx.authorBaghdad, Atmani|en_UK
local.rioxx.authorShankland, Carron|0000-0001-7672-2884en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2017-05-31en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2017-05-31en_UK
local.rioxx.licencehttps://storre.stir.ac.uk/STORREEndUserLicence.pdf|2017-05-31|en_UK
local.rioxx.filenameshankland IJSSS.pdfen_UK
local.rioxx.filecount2en_UK
local.rioxx.source1935-5688en_UK
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