Abstract
Communication between doctor and patient play an important role in determining the diagnosis of the illness suffered by the patient. Consultation time constraints led to insufficient information obtained to produce a diagnosis. This limitation is overcome by developing an expert system using fuzzy logic to represent the vagueness of symptoms experienced by patients and the certainty factor represents a relationship between the symptoms and disease. Knowledge acquisition generate a knowledge base include the fact and rules with certainty factor value of the expert. Implication, composition and defuzzification are used in the process of fuzzy reasoning, and the results are combining with certainty factor. Web-based expert system is equipped with workplace, explanation facility and knowledge improvement. The results of expert diagnosis and web-based expert system diagnosis show the system, has similarity with the expert at 93.99%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
