Literature DB >> 12463934

Defining medical concepts by linguistic variables with fuzzy Arden Syntax.

Sven Tiffe1.   

Abstract

Diagnostic and therapeutic decisions in the domain of medicine usually depend on observed or measured data, such as observations made during an examination, or laboratory data. Furthermore, such decisions are often based on abstract domain knowledge. For decision-making, it is necessary to establish relationships between concrete data and abstract knowledge. These relationships can be defined in a formal way by fuzzy set theory. We extended the Arden Syntax for Medical Logic Systems, which can be used for decision support in the medical domain, to include concepts of fuzzy set theory. This paper presents extensions for defining linguistic variables by Arden Syntax, which can formalize different states of an abstract concept, such as different levels of blood glucose. Arden Syntax linguistic variables can be used within conditional expressions in decision rules or within fuzzy control rules for computer-aided diagnosis and therapy.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12463934      PMCID: PMC2244192     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  1 in total

1.  A Comparison of Arden Syntax and Clinical Quality Language as Knowledge Representation Formalisms for Clinical Decision Support.

Authors:  Andrey Soares; Robert A Jenders; Robert Harrison; Lisa M Schilling
Journal:  Appl Clin Inform       Date:  2021-06-30       Impact factor: 2.342

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.