Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review

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dc.contributor.affiliationSanchez Zuleta, C.C., Faculty of Basic Sciences, Universidad de Medellín, Medellín, Colombia
dc.contributor.affiliationGiraldo Marín, L.M., Faculty of Engineering, Universidad de Medellín, Medellín, Colombia
dc.contributor.affiliationVélez Gómez, J.F., Faculty of Basic Sciences, Universidad de Medellín, Medellín, Colombia
dc.contributor.affiliationSanguino Cotte, D., Hospital Universitario San Vicente Fundación, Medellín, Colombia
dc.contributor.affiliationVargas López, C.A., Hospital Universitario San Vicente Fundación, Medellín, Colombia
dc.contributor.affiliationJaimes Barragán, F.A., Hospital Universitario San Vicente Fundación, Medellín, Colombia
dc.contributor.authorSanchez Zuleta C.C
dc.contributor.authorGiraldo Marín L.M
dc.contributor.authorVélez Gómez J.F
dc.contributor.authorSanguino Cotte D
dc.contributor.authorVargas López C.A
dc.contributor.authorJaimes Barragán F.A.
dc.date.accessioned2022-09-14T14:33:44Z
dc.date.available2022-09-14T14:33:44Z
dc.date.issued2021
dc.descriptionThe purpose of this scoping review was to observe the evolution of using data mining and machine learning techniques in health care based on the MEDLINE database. We used PRISMA-ScR to observe the techniques evolution and its usage according to the number of scientific publications that reference them from 2000 to 2018. On the basis of the results, we established two search strategies when performing a query about the subject. We also found that the three main techniques used in health care are “cluster,” “support vector machine,” and “neural networks.” © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.eng
dc.identifier.doi10.1007/978-3-030-72651-5_15
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.isbn9783030726508
dc.identifier.issn21945357
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/7454
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbHspa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.publisher.programCiencias Básicasspa
dc.publisher.programIngeniería de Sistemasspa
dc.relation.citationendpage160
dc.relation.citationstartpage151
dc.relation.citationvolume1366 AISC
dc.relation.ispartofconferenceWorld Conference on Information Systems and Technologies, WorldCIST 2021
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85107326029&doi=10.1007%2f978-3-030-72651-5_15&partnerID=40&md5=9bcb1f7f36288eb645bf535938d241b1
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dc.relation.referencesMcCrae, I., Hempstalk, K.: Introduction to machine learning in healthcare. In: ORION HEALTH. 2015. https://orionhealth.com/uk/knowledge-hub/reports/machine-learning-in-hea lthcare/. Accessed 06 May 2020
dc.relation.referencesShalev-Shwartz, S., Ben-David, S.: Understanding machine learning: from theory to algorithms. In: Cambridge University Press. 2014. https://www.cs.huji.ac.il/~shais/Understandin gMachineLearning/understanding-machine-learning-theory-algorithms.pdf. Accessed 06 May 2020
dc.relation.referencesIONIŢĂ
dc.relation.references, I., IONIŢĂ, L.: Applying data mining techniques in healthcare. Stud. Inform. Control. 25(3), 385–394. 2016. https://sic.ici.ro/wp-content/uploads/2016/09/SIC-3-2016-Art12. pdf. Accessed 06 May 2020
dc.relation.referencesTricco, A.C., Lillie, E., Zarin, W., O’Brien, K.K., Colquhoun, H., Levac, D., Weeks, L., PRISMA extension for scoping reviews (PRISMA-ScR): Checklist and explanation (2018) Ann. Intern. Med., 169 (7), pp. 467-473
dc.relation.references(2019) Library of the Medicine. MEDLINE®: Description of the Database. In: National Library of the Medicine, , https://www.nlm.nih.gov/bsd/medline.html. Accessed
dc.relation.referencesSevilla, B.U.: MeSH Database. In: Biblioteca Universidad de Sevilla. 2019. http://fama2.us. es/bgu/ad/tfg/pubmed/PubMed_08.htm. Accessed 06 May 2020
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceAdvances in Intelligent Systems and Computing
dc.subject.proposalDatabase researcheng
dc.subject.proposalHealth careeng
dc.subject.proposalMachine learningeng
dc.subject.proposalMeSHeng
dc.subject.proposalScoping revieweng
dc.subject.proposalHealth careeng
dc.subject.proposalInformation systemseng
dc.subject.proposalInformation useeng
dc.subject.proposalLearning systemseng
dc.subject.proposalQuery processingeng
dc.subject.proposalSupport vector machineseng
dc.subject.proposalMachine learning techniqueseng
dc.subject.proposalMEDLINE databaseeng
dc.subject.proposalScientific publicationseng
dc.subject.proposalScoping revieweng
dc.subject.proposalSearch strategieseng
dc.subject.proposalData miningeng
dc.titleEvolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review
dc.typeConference Paper
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.type.driverinfo:eu-repo/semantics/other
dc.type.localDocumento de conferenciaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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