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Clinical signs of pneumonia in children: association with and prediction of diagnosis by fuzzy sets theory BJMBR
Pereira,J.C.R.; Tonelli,P.A.; Barros,L.C.; Ortega,N.R.S..
The present study compares the performance of stochastic and fuzzy models for the analysis of the relationship between clinical signs and diagnosis. Data obtained for 153 children concerning diagnosis (pneumonia, other non-pneumonia diseases, absence of disease) and seven clinical signs were divided into two samples, one for analysis and other for validation. The former was used to derive relations by multi-discriminant analysis (MDA) and by fuzzy max-min compositions (fuzzy), and the latter was used to assess the predictions drawn from each type of relation. MDA and fuzzy were closely similar in terms of prediction, with correct allocation of 75.7 to 78.3% of patients in the validation sample, and displaying only a single instance of disagreement: a...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Epidemiologic methods; Stochastic models; Fuzzy models; Clinical signs; Diagnosis; Data analysis.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2004000500012
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Fuzzy expert system in the prediction of neonatal resuscitation BJMBR
Reis,M.A.M.; Ortega,N.R.S.; Silveira,P.S.P..
In view of the importance of anticipating the occurrence of critical situations in medicine, we propose the use of a fuzzy expert system to predict the need for advanced neonatal resuscitation efforts in the delivery room. This system relates the maternal medical, obstetric and neonatal characteristics to the clinical conditions of the newborn, providing a risk measurement of need of advanced neonatal resuscitation measures. It is structured as a fuzzy composition developed on the basis of the subjective perception of danger of nine neonatologists facing 61 antenatal and intrapartum clinical situations which provide a degree of association with the risk of occurrence of perinatal asphyxia. The resulting relational matrix describes the association between...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Fuzzy sets; Risk analysis; Medical expert systems; Perinatal asphyxia; Neonatal resuscitation.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2004000500018
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