Model for Differential Nursing Diagnosis of Alterations in Urinary Elimination Based on Fuzzy Logic

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dc.contributor.authorLopes, Maria Helena Baena de Moraes
dc.contributor.authorOrtega, Neli Regina Siqueira
dc.contributor.authorMassad, Eduardo [UNIFESP]|Marin, Heimar de Fatima [UNIFESP]
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.date.accessioned2018-06-15T16:39:18Z
dc.date.available2018-06-15T16:39:18Z
dc.date.issued2009-09-01
dc.description.abstractNursing diagnoses associated with alterations of urinary elimination require different interventions, Nurses, who are not specialists, require support to diagnose and manage patients with disturbances of urine elimination. The aim of this study was to present a model based on fuzzy logic for differential diagnosis of alterations in urinary elimination, considering nursing diagnosis approved by the North American Nursing Diagnosis Association, 2001-2002. Fuzzy relations and the maximum-minimum composition approach were used to develop the system. The model performance was evaluated with 195 cases from the database of a previous study, resulting in 79.0% of total concordance and 19.5% of partial concordance, when compared with the panel of experts. Total discordance was observed in only three cases (1.5%). The agreement between model and experts was excellent (kappa = 0.98, P < .0001) or substantial (kappa = 0.69, P < .0001) when considering the overestimative accordance (accordance was considered when at least one diagnosis was equal) and the underestimative discordance (discordance was considered when at least one diagnosis was different), respectively. The model herein presented showed good performance and a simple theoretical structure, therefore demanding few computational resources.en
dc.description.affiliationUniv Estadual Campinas, Fac Med Sci, Dept Nursing, Campinas, SP, Brazil
dc.description.affiliationUniv Sao Paulo, Sch Med, BR-05508 Sao Paulo, Brazil
dc.description.affiliationUniv Fed Sao Paulo, Dept Nursing, Sao Paulo, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Dept Nursing, Sao Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipInformatics for Global Health
dc.description.sponsorshipFogarty International Center
dc.description.sponsorshipNLM
dc.description.sponsorshipNIBIB
dc.description.sponsorshipNIH
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIDInformatics for Global Health: 1 1 D43 TW7015-01
dc.format.extent324-329
dc.identifierhttp://dx.doi.org/10.1097/NCN.0b013e3181b21e6d
dc.identifier.citationCin-computers Informatics Nursing. Philadelphia: Lippincott Williams & Wilkins, v. 27, n. 5, p. 324-329, 2009.
dc.identifier.doi10.1097/NCN.0b013e3181b21e6d
dc.identifier.issn1538-2931
dc.identifier.urihttp://repositorio.unifesp.br/handle/11600/43276
dc.identifier.wosWOS:000269920400008
dc.language.isoeng
dc.publisherLippincott Williams & Wilkins
dc.relation.ispartofCin-computers Informatics Nursing
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectClinicalen
dc.subjectDecision support systemsen
dc.subjectDifferential Diagnosisen
dc.subjectFuzzy logicen
dc.subjectNursing diagnosisen
dc.subjectUrinary incontinenceen
dc.titleModel for Differential Nursing Diagnosis of Alterations in Urinary Elimination Based on Fuzzy Logicen
dc.typeinfo:eu-repo/semantics/article
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