HEVS: Herbal effect visualization system for treatments in oriental medicine

Fairness evaluating effects of prescriptions is indispensably importance in disease treatment. The development of Intelligence Technologies nowadays makes it realizable for a moderation of subjective prescription evaluations in medicine. In this paper, we present an application of Self-Organizing Map (SOM) to visualization of herbal prescription effects in Oriental Medicine (OM). The application is used to estimate influence of herbal ingredients prescribed for patients who have several concurrent diseases. Inputs to the SOM are herbal treatment prescriptions, and an output is a map that shows disease states that can be influenced by these prescriptions. Training data is 133 standard prescriptions with 221 popular herbs in 17 disease groups collected from oriental medical text books by experienced doctors. First, the prescription problem in OM is described. Next the system structure and implementation of a proposed system are shown. Finally the visualization abilities of the proposed system verified by experienced doctors are presented.