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Assessment of the Influence of Features on a Classification Problem: An Application to COVID-19 Patients

dc.contributor.authorDavila-Pena, Laura
dc.contributor.authorGarcía-Jurado, Ignacio
dc.contributor.authorCasas Méndez, Balbina Virginia
dc.date.accessioned2022-03-08T17:30:42Z
dc.date.available2022-03-08T17:30:42Z
dc.date.issued2022
dc.identifier.citationDAVILA-PENA, L., GARCÍA-JURADO, I. and CASAS-MÉNDEZ, B., 2022. Assessment of the influence of features on a classification problem: An application to COVID-19 patients. European Journal of Operational Research. 2022. Vol. 299, no. 2, p. 631–641. DOI 10.1016/j.ejor.2021.09.027.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/29912
dc.descriptionFinanciado para publicación en acceso aberto: Universidade da Coruña/CISUGes_ES
dc.description.abstract[Abstract] This paper deals with an important subject in classification problems addressed by machine learning techniques: the evaluation of the influence of each of the features on the classification of individuals. Specifically, a measure of that influence is introduced using the Shapley value of cooperative games. In addition, an axiomatic characterisation of the proposed measure is provided based on properties of efficiency and balanced contributions. Furthermore, some experiments have been designed in order to validate the appropriate performance of such measure. Finally, the methodology introduced is applied to a sample of COVID-19 patients to study the influence of certain demographic or risk factors on various events of interest related to the evolution of the disease.es_ES
dc.description.sponsorshipThe authors are grateful to Ricardo Cao Abad and to the Dirección Xeral de Saúde Pública of the Xunta de Galicia in Spain. This work has been supported by the ERDF, the Government of Spain/AEI [grants MTM2017-87197-C3-1-P and MTM2017-87197-C3-3-P]; the Xunta de Galicia [Grupos de Referencia Competitiva ED431C2016-015, ED431C2017/38, and ED431C 2021/24, and Centro Singular de Investigación de Galicia ED431G/01]; and by the collaborative research project of the IMAT “Mathematical, statistical and dynamic study of the epidemic COVID-19”, subsidized by the Vice-Rector’s Office for Research and Innovation at the University of Santiago de Compostela, Spain. The research of Laura Davila-Pena has been funded by the Government of Spain [grant FPU17/02126]es_ES
dc.description.sponsorshipXunta de Galicia; ED431C2016-015es_ES
dc.description.sponsorshipXunta de Galicia; ED431C2017/38es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2021/24es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-87197-C3-1-P/ES/OPTIMIZACION Y COOPERACION CON APLICACIONES EN ECONOMIA, ENERGIA Y LOGISTICA/
dc.relationAssessment of the Influence of Features on a Classification Problem: An Application to COVID-19 Patients
dc.relationinfo:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FPU17%2F02126/ES/
dc.relation.urihttps://doi.org/10.1016/j.ejor.2021.09.027es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMachine learninges_ES
dc.subjectClassificationes_ES
dc.subjectInfluence of featureses_ES
dc.subjectShapley valuees_ES
dc.subjectCOVID-19es_ES
dc.titleAssessment of the Influence of Features on a Classification Problem: An Application to COVID-19 Patientses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleEuropean Journal of Operational Researches_ES
UDC.volume299es_ES
UDC.issue2es_ES
UDC.startPage631es_ES
UDC.endPage641es_ES
dc.identifier.doi10.1016/j.ejor.2021.09.027


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