Melancholia Diagnosis Based on Energy Medicine Information and CMAC Neural Network Approach

In this paper, a preliminary result about the melancholia diagnosis scheme based on the analyses of depression questionnaire and the meridian energy of human body is proposed. Firstly, a large amount data obtained from hospital, recorded the aged patients' depression rating scales and the 12 sets meridian energy signals, are sieved out three disease groups' patterns. Then, CMAC (Cerebellar Model Articulation Controller) neural network diagnosis architecture is built depending on the three disease groups' patterns. Thirdly, the selected patterns were utilized to train the CMAC neural network. Finally, inputting the 12 sets meridian energy signals of human body into CMAC neural network, the finished training neural network can be used to diagnose the possibility of people with melancholia or not.