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Fuzzy c-Means as a Decision Support Tool for Liver Disease Diagnosis Based on Data Analysis

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Engenharia Médica
datacite.subject.fosCiências Médicas::Medicina Clínica
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorLeite, Gabriel A.
dc.contributor.authorAzevedo, Beatriz Flamia
dc.contributor.authorFerreira, Sofia Ribeiro
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2026-02-27T17:20:09Z
dc.date.available2026-02-27T17:20:09Z
dc.date.issued2024
dc.description.abstractThe liver is a vital organ responsible for numerous essential functions in the body. Thus, liver disorders can have severe consequences on overall health and well-being. Early diagnosis and treatment of liver disorders are crucial to prevent complications such as cirrhosis, liver failure and liver cancer. In this work, a data analysis system aims to identify the most important features in defining liver disease and categorize sick patients according to the severity of the disease. The Indian Liver Patient Dataset was evaluated using a pre-processing data analysis method that considered the Z-score, the correlation, and the Recursive Feature Elimination. After identifying the most important characteristics of the patients, the Fuzzy c-means algorithm was used to classify them based on the severity of the disease. The results of the proposed methodology proved to be effective in creating a decision support system, since it was possible to identify four levels of severity among the patients.eng
dc.description.sponsorshipThis work has been supported by FCT Fundação para a Ciência e Tecnologia within the R&D Units Project Scope UIDB/00319/2020, UIDB/05757/2020 (DOI: 10.54499/UIDB/057 57/2020), UIDP/05757/2020 (DOI: 10.54499/UIDP/05757/2020) and Erasmus Plus KA2 within the project 2021-1-PT01-KA220-HED-000023288. Beatriz Flamia Azevedo is supported by FCT Grant Reference SFRH/BD/07427/2021.
dc.identifier.citationLeite, Gabriel A.; Azevedo, Beatriz Flamia; Ferreira, Sofia Ribeiro; Pacheco, Maria F.; Fernandes, Florbela P.; Pereira, Ana I. (2024). Fuzzy c-Means as a Decision Support Tool for Liver Disease Diagnosis Based on Data Analysis. In 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024. ISSN 1865-0929. 2280, p. 97-111
dc.identifier.doi10.1007/978-3-031-77426-3_7
dc.identifier.isbn9783031774256
dc.identifier.isbn9783031774263
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.urihttp://hdl.handle.net/10198/35894
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relation.ispartofCommunications in Computer and Information Science
dc.relation.ispartofOptimization, Learning Algorithms and Applications
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectDecision support
dc.subjectFuzzy clustering
dc.subjectMachine learning
dc.titleFuzzy c-Means as a Decision Support Tool for Liver Disease Diagnosis Based on Data Analysiseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.endPage111
oaire.citation.startPage97
oaire.citation.title4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024
oaire.citation.volume2280
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLeite
person.familyNameAzevedo
person.familyNamePacheco
person.familyNameFernandes
person.familyNamePereira
person.givenNameGabriel A.
person.givenNameBeatriz Flamia
person.givenNameMaria F.
person.givenNameFlorbela P.
person.givenNameAna I.
person.identifier.ciencia-id8A1D-BE60-F58E
person.identifier.ciencia-id181E-855C-E62C
person.identifier.ciencia-idF319-DAC3-8F15
person.identifier.ciencia-id501D-6FD0-CC53
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0009-0008-3273-0450
person.identifier.orcid0000-0002-8527-7409
person.identifier.orcid0000-0001-7915-0391
person.identifier.orcid0000-0001-9542-4460
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id36802474600
person.identifier.scopus-author-id35179471000
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
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