International Journal of Medical Science and Public Health

2019, Vol: 8, Issue: 10

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Int J Med Sci Public Health. 2013; 2(1): 56-61

doi: 10.5455/ijmsph.2013.2.56-61

Design of fuzzy expert system for diagnosis of cardiac diseases

Smita Sushil Sikchi, Sushil Sikchi, M S ALI.

Cited by (9)

Abstract
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.

Key words: Fuzzy expert system, Generic framework, Medical diagnosis, Heart disease diagnosis

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REFERENCES

1. Adlassnig KP, Kolarz G, Scheithauer W. Present State of the Medical Expert System CADIAG-2. Methods of Information in Medicine 1995; 24:13-20.

2. Ahmed A, Bigand A, Lethuc V, Allious PM. Visual Acuity of Vision Tested by Fuzzy Logic: An Application in Ophthalmology as a Step Towards a Telemedicine Project. Information Fusion 2004; 5:217-230.

http://dx.doi.org/10.1016/j.inffus.2003.12.003

3. Ali A, Singh V. Potentials of Fuzzy Logic : An Approach To Handle Imprecise Data. American Medical Informatics Association 2010; 2:358-361.

4. Ameri A, Moshtaghi H. Design and Development of Expert System in Differential Diagnosis of Maxillofacial Radio-lucent Lesions. http://idt.mdh.se/kurser/ct3340/archives/ht08/papersRM08/21.pdf.

5. Asghar MZ, Khan AR, Asghar MJ. Computer Assisted Diagnoses For Red Eye (CADRE). Int. J. of Compouter Science & Engineering 2009; 3:163-170.

6. Banerjee A, Majumdar AK, Basu A. A Fuzzy Expert System Approach Using Multiple Experts For Dynamic Follo-up of Endemic Diseases. Sadhana, India 1994; 19:51-73.

http://dx.doi.org/10.1007/BF02760390

7. Binaghi E, Gallo I, Ghiselli C, Levrini L, Biondi K. An Integrated Fuzzy Logic And Web-Based Framework For Active Protocol Support. International Journal of Medical Informatics 2008; 77:256-271.

http://dx.doi.org/10.1016/j.ijmedinf.2007.06.004

[Pubmed]

8. Boegl K, Adlassnig KP, Hayashi Y, Rothenfluh TE, Leitich H. Knowledge Acquisition in the Fuzzy Knowledge Representation Framework of a Medical Consultation System. Artificial Intelligence in Medicine 2004; 30:1-26.

http://dx.doi.org/10.1016/S0933-3657(02)00073-8

9. Ciabattoni A, Vetterlein T, Adlassnig KK. A Formal Logical Framework for Cadiag-2. Studies in Health Technology & Informatics 2009; 150:648-652.

[Pubmed]

10. Engle RL, Flehinger BJ. Why Expert Systems for Medical Diagnosis are not being generally used: A valedictory opinion. Bulletin of the New York Academy of Medicine 1987; 63:193-198.

[Pubmed]    [PMC Free Fulltext]

11. Jung I, Wang G. User Pattern Learning Algorithm based MDSS (Medical Decision Support System) Framework under Ubiquitous. World Academy of Science, Engineering and Technology 2007; 36:184-188.

12. Owaied HH, Qasem MM. Developing Rule-Case-Based Shell Expert System. Proc. of Int. MultiConf. of Engineers & Scientists 2010; 1.

13. Pereira JCR, Tonelli PA, Barros LC, Ortega NRS. Defuzzification in Medical Diagnosis. Advances in Logic, Artificial Intelligence & Robotics 2002; 202-207.

[Pubmed]

14. Qu Y, Fu T, Qiu H. A Fuzzy Expert System Framework Using Object Oriented Techniques. IEEE Pacific Asia Workshop on Computational Intelligence and Industrial Applications 2008; 2:474-477.

http://dx.doi.org/10.1109/PACIIA.2008.330

[Pubmed]    [PMC Free Fulltext]

15. Seising R. A History of Medical Diagnosis Using Fuzzy Relations. Fuzziness in Finland'04 2004; 1-5.

16. Snae C, Brueckner M. Personal Health Assistance Service Expert System. World Academy of Science, Engineering and Technology: A Biological & Biomedical Sciences 2008; 4:109-112.

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How to Cite this Article

Pubmed Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI. Design of fuzzy expert system for diagnosis of cardiac diseases. Int J Med Sci Public Health. 2013; 2(1): 56-61. doi:10.5455/ijmsph.2013.2.56-61

Web Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI. Design of fuzzy expert system for diagnosis of cardiac diseases. http://www.ijmsph.com/?mno=26595 [Access: October 21, 2019]. doi:10.5455/ijmsph.2013.2.56-61

AMA (American Medical Association) Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI. Design of fuzzy expert system for diagnosis of cardiac diseases. Int J Med Sci Public Health. 2013; 2(1): 56-61. doi:10.5455/ijmsph.2013.2.56-61

Vancouver/ICMJE Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI. Design of fuzzy expert system for diagnosis of cardiac diseases. Int J Med Sci Public Health. (2013), [cited October 21, 2019]; 2(1): 56-61. doi:10.5455/ijmsph.2013.2.56-61

Harvard Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI (2013) Design of fuzzy expert system for diagnosis of cardiac diseases. Int J Med Sci Public Health, 2 (1), 56-61. doi:10.5455/ijmsph.2013.2.56-61

Turabian Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI. 2013. Design of fuzzy expert system for diagnosis of cardiac diseases. International Journal of Medical Science and Public Health, 2 (1), 56-61. doi:10.5455/ijmsph.2013.2.56-61

Chicago Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI. "Design of fuzzy expert system for diagnosis of cardiac diseases." International Journal of Medical Science and Public Health 2 (2013), 56-61. doi:10.5455/ijmsph.2013.2.56-61

MLA (The Modern Language Association) Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI. "Design of fuzzy expert system for diagnosis of cardiac diseases." International Journal of Medical Science and Public Health 2.1 (2013), 56-61. Print. doi:10.5455/ijmsph.2013.2.56-61

APA (American Psychological Association) Style

Smita Sushil Sikchi , Sushil Sikchi , M S ALI (2013) Design of fuzzy expert system for diagnosis of cardiac diseases. International Journal of Medical Science and Public Health, 2 (1), 56-61. doi:10.5455/ijmsph.2013.2.56-61



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