Classification of Medical Data using Character-level CNN

K. Miyazaki
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Abstract

It is necessary to handle an enormous amount of electronic data in medical practice. Therefore, a support system using information technology is desired to analyze the data. In this paper, we propose a preliminary system using character-level convolutional neural networks in order to improve the classification performance of text data on medical practice. The effectiveness of the proposed system is confirmed by the testbed called the NTCIR-13 MedWeb task [15].
使用字符级CNN的医疗数据分类
在医疗实践中,需要处理大量的电子数据。因此,需要一个使用信息技术的支持系统来分析数据。为了提高医疗实践文本数据的分类性能,本文提出了一种基于字符级卷积神经网络的初步系统。该系统的有效性通过名为ntcir13 MedWeb任务[15]的测试平台得到了证实。
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