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Artigo em Inglês | IMSEAR | ID: sea-152822

RESUMO

Background: The logical thinking of medical practitioners play significant role in decision making about diagnosis. It exhibits variation in decisions because of their approaches to deal with uncertainties and vagueness in the knowledge and information. Fuzzy logic has proved to be the remarkable tool for building intelligent decision making systems for approximate reasoning that can appropriately handle both the uncertainty and imprecision. Aims & Objective: To develop a generic fuzzy expert system framework that can be used to design specific fuzzy expert systems for particular medical domain. Material and Methods: The generic fuzzy expert system has been designed for diagnosis of cardiac diseases. The interface between visual basic and MatLab is powerful feature of the system that offers user friendly graphical user interface. Results: Need to arrive at the most accurate medical diagnosis in a timely manner is the main outcome that may reduce the further complications. A generic fuzzy expert system for the diagnosis of various heart diseases yields better result than the classic designed systems, because this system simulates the manner of an expert in true sense. Conclusion: The particular focus is on diagnosis of heart disease by employing the fuzzy logic in expert systems. The system has been designed and tested successfully. Exhaustive rule base specifically formed for almost all heart diseases ensures the accuracy to arrive at certain decision.

3.
Journal of Guangzhou University of Traditional Chinese Medicine ; (6)2000.
Artigo em Chinês | WPRIM | ID: wpr-574042

RESUMO

[Objective] To re-evaluate the diagnostic value of electrocardiogram (ECG) for coronary heart disease (CHD) by coronary arteriogram (CAG). [Methods] ECG and CAG in 375 cases preliminarily diagnosed as having CHD were analyzed. [Results] ECG was abnormal in 252 cases and normal in 123 cases; 278 cases were diagnosed as having CHD and 97 non-CHD by CAG. CHD was confirmed in 205 cases from 252 with abnormal ECG and in 73 cases from 123 with normal ECG. The sensitivity of ECG for CHD was 73.7% and the specificity was 51.5% , indicating that the changes of ECG having different diagnostic value for CHD (P

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