{"title":"Application of fuzzy reasoning to haematological reference values.","authors":"J Berger","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>In a fuzzy set, the probability that a result for a patient is increased (or decreased) is equal to the probability of incidence of reference values equal and lower (or higher) than the evaluated result. Application of fuzzy logic to computer analysis of haematological data enables more appropriate interpretation of continuous pathological changes.</p>","PeriodicalId":19366,"journal":{"name":"Nouvelle revue francaise d'hematologie","volume":"36 4","pages":"333-4"},"PeriodicalIF":0.0000,"publicationDate":"1994-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nouvelle revue francaise d'hematologie","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In a fuzzy set, the probability that a result for a patient is increased (or decreased) is equal to the probability of incidence of reference values equal and lower (or higher) than the evaluated result. Application of fuzzy logic to computer analysis of haematological data enables more appropriate interpretation of continuous pathological changes.
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