Towards an Interpretation of the Medical Expert System CADIAG 2

Muiño, David Picado; Ciabattoni, Agata; Vetterlein, Thomas

doi:10.1007/978-3-642-36527-0_22

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…149 The studies on probabilistic interpretation and statistical analysis of medical data have been presented. 150,151 Medical decision support systems are designed in the form of large scale expert system shells and used for augmenting large knowledge bases. 152,153 Suitability of the computer systems using fuzzy methods and computerized monitoring and medical decision making systems have been reported.…”

Section: Fuzzy Expert System Shells and Frameworkmentioning

confidence: 99%

Fuzzy Expert Systems (FES) for Medical Diagnosis

Sikchi¹,

Sikchi²,

Ali³

2013

IJCA

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Fuzzy logic has proved to be the remarkable tool for building intelligent decision making systems based on the expert's knowledge and observations. This paper reviews the trend in development of FES and application potential over past two and half decades in the medical field, based on the references of 173 articles from 124 journals, several proceedings and web media. In order to investigate the significance of FES for medical diagnosis, the articles are classified into five distinct categories: Reviews and Surveys on Fuzzy Expert Systems in Medical Diagnosis, Applications of Fuzzy Expert Systems in Medical Diagnosis, Methodologies and Modelling of Fuzzy Expert Systems, Neuro-Fuzzy Approaches, Fuzzy Expert System Shells and Frameworks. The development of disease specific applications using FES is observed to be the area of most significant interest of the researchers. The earlier contributions are reviewed, classified, analyzed and suggested the future scope.

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