2004
DOI: 10.1590/s0100-879x2004000500018
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Abstract: 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 perce… Show more

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Cited by 36 publications
(26 citation statements)
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“…Constructed on the basis of expert consultation and expertise, the FIS simulates human reasoning to support decisions based on a given condition 23,24 , such as diagnoses and monitoring in the health area 25,26,27,28,29,30,31 . Construction of the FIS thus involves four principal stages: fuzzification, construction of the rules set, inference, and defuzzification 32 .…”
Section: Development Of the Modelmentioning
confidence: 99%
“…Constructed on the basis of expert consultation and expertise, the FIS simulates human reasoning to support decisions based on a given condition 23,24 , such as diagnoses and monitoring in the health area 25,26,27,28,29,30,31 . Construction of the FIS thus involves four principal stages: fuzzification, construction of the rules set, inference, and defuzzification 32 .…”
Section: Development Of the Modelmentioning
confidence: 99%
“…They even use the no less subjective cross code or exemplify, therefore, the vagueness of data is increased. The fuzzy sets theory is a prominent progress to deal with such extreme inexactness [5,6].…”
Section: Historical Overviewmentioning
confidence: 99%
“…The system formalize symptoms and diseases using fuzzy logic [5]. The new system, CADIAG-II, was implemented in 1982, and completely incorporated into the medical information system WAMIS in 1984.…”
Section: Historical Overviewmentioning
confidence: 99%
“…Lotfi A. Zadeh introduced the theory of fuzzy sets in the 1960s as a way to model the uncertainty within natural language (e.g. ever, frequently, sometimes, rarely, never) (31) . The theory of fuzzy sets considers that a set could have members that belong to it only in part.…”
Section: Fuzzy Logicmentioning
confidence: 99%