A predictive tool by fuzzy logic for outcome of patients with intracranial aneurysm

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dc.authoridAltunkaynak, Abdusselam/0000-0001-7134-1820
dc.authoridOzger, Mehmet/0000-0001-9812-9918
dc.contributor.authorHatiboglu, Mustafa Aziz
dc.contributor.authorAltunkaynak, Abdusselam
dc.contributor.authorOzger, Mehmet
dc.contributor.authorIplikdoglu, Ahmet Celal
dc.contributor.authorCosar, Murat
dc.contributor.authorTurgut, Namigar
dc.date.accessioned2025-01-27T20:32:03Z
dc.date.available2025-01-27T20:32:03Z
dc.date.issued2010
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractWe aimed to investigate if the outcome of the patients with intracranial aneurysm could be predicted by fuzzy logic approach. Two hundred and forty two patients with the diagnosis of intracranial aneurysm were assessed retrospectively between January, 2001 and December 2005 We recorded World Federation of Neurological Surgeons Scale (WFNSS), Fisher Scale and age at admission and Glasgow Outcome Score (GOS) at discharge from hospitalization for all the patients We developed fuzzy sets by dividing WFNSS into four groups as good, fair, bad and very bad; age into three groups as young, middle and old, Fisher scale into three groups as few. moderate and large; outcome score Into four groups as bad, fair, good and very good. We calculated the Outcome of the patient with these sets by fuzzy model. Predicted Outcome by fuzzy logic approach correlated with observed outcome scores of the patients (p > 0.05), including 95% confidence interval. We showed that outcome of the patients with aneurysm can be predicted by fuzzy logic approach, accurately (C) 2009 Elsevier Ltd. All rights reserved
dc.identifier.doi10.1016/j.eswa.2009.06.072
dc.identifier.endpage1049
dc.identifier.issn0957-4174
dc.identifier.issue2
dc.identifier.scopus2-s2.0-71749094709
dc.identifier.scopusqualityQ1
dc.identifier.startpage1043
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2009.06.072
dc.identifier.urihttps://hdl.handle.net/20.500.12428/23337
dc.identifier.volume37
dc.identifier.wosWOS:000272432300017
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectFisher scale
dc.subjectFuzzy logic
dc.subjectIntracranial aneurysm
dc.subjectOutcome score
dc.subjectPrediction
dc.titleA predictive tool by fuzzy logic for outcome of patients with intracranial aneurysm
dc.typeArticle

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