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

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dc.contributor.author Lopes, Maria Helena Baena de Moraes
dc.contributor.author Ortega, Neli Regina Siqueira
dc.contributor.author Massad, Eduardo [UNIFESP]|Marin, Heimar de Fatima [UNIFESP]
dc.date.accessioned 2018-06-15T16:39:18Z
dc.date.available 2018-06-15T16:39:18Z
dc.date.issued 2009-09-01
dc.identifier http://dx.doi.org/10.1097/NCN.0b013e3181b21e6d
dc.identifier.citation Cin-computers Informatics Nursing. Philadelphia: Lippincott Williams & Wilkins, v. 27, n. 5, p. 324-329, 2009.
dc.identifier.issn 1538-2931
dc.identifier.uri http://repositorio.unifesp.br/11600/43276
dc.description.abstract Nursing 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.sponsorship Informatics for Global Health
dc.description.sponsorship Fogarty International Center
dc.description.sponsorship NLM
dc.description.sponsorship NIBIB
dc.description.sponsorship NIH
dc.description.sponsorship Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent 324-329
dc.language.iso eng
dc.publisher Lippincott Williams & Wilkins
dc.relation.ispartof Cin-computers Informatics Nursing
dc.rights Acesso restrito
dc.subject Clinical en
dc.subject Decision support systems en
dc.subject Differential Diagnosis en
dc.subject Fuzzy logic en
dc.subject Nursing diagnosis en
dc.subject Urinary incontinence en
dc.title Model for Differential Nursing Diagnosis of Alterations in Urinary Elimination Based on Fuzzy Logic en
dc.type Artigo
dc.contributor.institution Universidade Estadual de Campinas (UNICAMP)
dc.contributor.institution Universidade de São Paulo (USP)
dc.contributor.institution Universidade Federal de São Paulo (UNIFESP)
dc.description.affiliation Univ Estadual Campinas, Fac Med Sci, Dept Nursing, Campinas, SP, Brazil
dc.description.affiliation Univ Sao Paulo, Sch Med, BR-05508 Sao Paulo, Brazil
dc.description.affiliation Univ Fed Sao Paulo, Dept Nursing, Sao Paulo, Brazil
dc.description.affiliationUnifesp Univ Fed Sao Paulo, Dept Nursing, Sao Paulo, Brazil
dc.description.sponsorshipID Informatics for Global Health: 1 1 D43 TW7015-01
dc.identifier.doi 10.1097/NCN.0b013e3181b21e6d
dc.description.source Web of Science
dc.identifier.wos WOS:000269920400008



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