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Type: Artigo de periódico
Title: Fuzzy Logic Model Based On The Differential Nursing Diagnosis Of Alterations In Urinary Elimination.
Author: de Moraes Lopes, Maria Helena Baena
Marin, Heimar de Fátima
Ortega, Neli Regina Siqueira
Massad, Eduardo
Abstract: The nursing diagnoses associated with alterations in urinary elimination require different interventions, and nurses who are not specialists need support to diagnose and to manage patients with disturbances of urine elimination. The aim of this study was to present a model based on fuzzy logic for making differential diagnosis of alterations in urinary elimination, considering the nursing diagnosis approved by the North American Nursing Diagnosis Association (NANDA), 2001-2002. The fuzzy maximum-minimum composition was used to develop this model. It was tested with 195 cases from a database of a previous study. The model was able to determine the diagnosis in total accordance with a panel of three experts for 79.5% of the cases. The model diagnosed 19% of the cases with partial concordance with the panel of experts. Only for 3 cases (1.5%) the model showed a different diagnosis. It is concluded that the model proposed here, despite of its simplicity, presents good performance. However, it is recommended more tests before widely used as support for clinical decision.
Subject: Brazil
Decision Support Systems, Clinical
Diagnosis, Differential
Fuzzy Logic
Models, Theoretical
Urination Disorders
Citation: Studies In Health Technology And Informatics. v. 122, p. 117-20, 2006.
Rights: fechado
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

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