A TCM Therapeutic Methods Based on Text Convolutional Neural Network

机译：基于文本卷积神经网络的TCM治疗方法

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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.

机译：中医（TCM）被认为是具有巨大科学价值的人体医学。推荐给定症状的治疗方法是TCM处理过程的重要组成部分。在本文中，我们提出了一种基于文本卷积神经网络获得TCM治疗方法的新方法。在该方法中，通过最大池层提取症状的关键信息，输出中医的治疗方法。实验结果验证了我们的方法比双向长期内存网络的准确性更高，并注意到了双向长期内存网络。

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《Youth Academic Annual Conference of Chinese Association of Automation》|2021年|751-756|共6页
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Dandan Liu; Yu Zhang; Lin Wang; Mingchuan Zhang; Muhua Liu;
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Training; Neural networks; Optimization methods; Bidirectional control; Medical services; Feature extraction; Data models;

机译：培训;神经网络;优化方法;双向控制;医疗服务;特征提取;数据模型;

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A TCM Therapeutic Methods Based on Text Convolutional Neural Network

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