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A Fuzzy Expert System For Pathological Investigation and Diagnosis of Jaundice
DR. M.S.ALI, PROF. S.L.SATARKAR Principal, Prof. Ram Meghe College of Engineering & Management, Amravati, India Asso. Prof. and Head, Department of CSE, College of Engineering & Technology, Akola, India
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Abstract: With increase in the use of digital equipments in healthcare the volume of the medical knowledge is improving tremendously. Determination of useful knowledge from the available knowledge is becoming challenging. It is becoming inevitable to replace conventional data analysis techniques with more efficient and effective computer based analysis techniques.
In this paper, we present a fuzzy expert system for the pathological investigation of jaundice. The developed system has eight input variables (Bili_T, Bili_D, Bili_ID, AST, ALT, ALP, HB and RC) and one output variable L_D. The output variable is a value from 1 to 11 representing various causes of Jaundice.
The system uses Mamdani interface method. The system is designed in MATLAB software. The developed system can prove to be very useful in comparison with other traditional diagnostic system as it is faster, cheaper and more reliable.
Keyword: Fuzzy Expert System, Diagnosis of Jaundice, Pathological Investigation
In this paper, we present a fuzzy expert system for the pathological investigation of jaundice. The developed system has eight input variables (Bili_T, Bili_D, Bili_ID, AST, ALT, ALP, HB and RC) and one output variable L_D. The output variable is a value from 1 to 11 representing various causes of Jaundice.
The system uses Mamdani interface method. The system is designed in MATLAB software. The developed system can prove to be very useful in comparison with other traditional diagnostic system as it is faster, cheaper and more reliable.
Keyword: Fuzzy Expert System, Diagnosis of Jaundice, Pathological Investigation
How to Cite:
[1] DR. M.S.ALI, PROF. S.L.SATARKAR Principal, Prof. Ram Meghe College of Engineering & Management, Amravati, India Asso. Prof. and Head, Department of CSE, College of Engineering & Technology, Akola, India , âA Fuzzy Expert System For Pathological Investigation and Diagnosis of Jaundice,â International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
