A TCM Therapeutic Methods Based on Text Convolutional Neural Network

Traditional Chinese Medicine (TCM) has been recognized as human medicine of great scientific value. Recommending the therapeutic method for the given symptoms is an important part of the TCM treatment process. In this paper, we propose a new method to obtain therapeutic methods of TCM based on Text Convolutional Neural Network. In this method, the key information of symptoms were extracted through the Max pooling layer, and the therapeutic methods of TCM were output. The experimental results verify that our method has higher accuracy than the Bi-directional Long Short Term Memory Network and the Bi-directional Long Short Term Memory Network with attention.