A framework for fuzzy diagnosis of hepatitis

A study of the orthodox practice of diagnosing hepatitis revealed that inexactness in the diagnostic results has led several patients into abusing therapies. This prompted a further study into how this could be resolved. In this regard, effort was made for medical doctors to specify some linguistic labels while taking history and performing medical examinations on the patients. The effort yielded few responses which necessitated a study of the application of fuzzy logic technology to medical diagnosis. The symptoms were fuzzified with some membership functions which aided in the extraction of fuzzy rule base. With data and rules, fuzzy inference using the maxmin method was applied on the knowledge base, the results obtained were defuzzified to obtain crisp outputs that represent the diagnostic values with linguistic labels. The novelty of the result is that the degree or extent to which a patient suffers from hepatitis is reported to the patient and based on such revelation therapy would be administered without an abuse.