The peripheral neuropathy brings out variable symptoms, and has many causesas many as there are a lot of peripheral nerve in our body. Therefore, in order to diagnosis the patients of suspected peripheral neuropathy, we need to reduce the unnecessary ...
The peripheral neuropathy brings out variable symptoms, and has many causesas many as there are a lot of peripheral nerve in our body. Therefore, in order to diagnosis the patients of suspected peripheral neuropathy, we need to reduce the unnecessary time and resources wasting with the systemic examinations and diagnosis. Although there are the suggested clinical guidelines for this systemic approach, they have complex system so that they are difficult to be remembered, and hard to be applied to the actual clinical situations. In this process, clinical decision support system (CDSS) can remind what the necessary information is at each of diagnosis procedure, and also present the diagnosis results of patients with organizing and managing (reasoning) of this information efficiently. Therefore, in this study, we designed the clinical decision support system (CDSS) which is useful for the diagnosis of the peripheral neuropathy, and analyzed the results. According to the pattern analysis based on the clinical guideline of peripheral neuropathy we achievedgenerating the rules, analyzing the relation among them, and understanding the variable types and forms. Through this experiment, we implemented the rule based system using by Asbru language. The validity test was performed by 58 suspected patients of peripheral neuropathy. From the test results, the sensitivity of mononeuropathy, multiple mononeuropathy and polyneuropathy is 77%, 58%, and 100% respectively. Meanwhile, there were low sensitivity of the multiple mononeuropathy or individual disease in polyneuropathy related to the electromyogram (EMG) or nerve conduction study(NCV), which are considered as the important exam for diagnosis of the peripheral neuropathy. Therefore, for the futurestudy, we need to analysis and design of system including the results of electromyogram (EMG) or nerve conduction study (NCV).