Modeling a Fuzzy System for Diagnosis of Syndromes with Integrated Eastern and Western Medicine Using the Importance of Symptoms
Hoang Phuong Nguyen
Informatics Division, Faculty of Mathematics-Informatics, Thang Long University
Nghiem Xuan Yem Road, Hoang Mai District, Hanoi, Vietnam
In this study, we present an approach to include the importance of symptoms for the diagnosis of syndromes with integrated eastern and western medicine. We also focus on knowledge representation and inference engine of our proposed system using the importance of symptoms. The innovative point of this study is combining the degree of diagnosis of syndrome of Eastern medicine with that of disease of Western medicine when both medicines are associated to a common “disease” name to obtain more accurate diagnosis. Moreover, the importance of symptoms in the inference rules in medical expert systems still has an important role in the diagnosis of syndromes. Based on this approach, the system can adapt more with real clinical practice of integrated eastern and western medicine diagnosis. Finally, examples are provided to demonstrate the advantage of this approach.
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