Medical Text Classification using Convolutional Neural Networks

Irene Li; Mark Hughes; Spyros Kotoulas; Toyotaro Suzumura

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Medical Text Classification using Convolutional Neural Networks

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arxiv 1704.06841 v1 pith:P3UEI7SA submitted 2017-04-22 cs.CL

Mark Hughes , Irene Li , Spyros Kotoulas , Toyotaro Suzumura This is my paper · ORCID

classification cs.CL

keywords convolutionalnetworksneuraltextapproachapproachesautomaticallybroad

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We present an approach to automatically classify clinical text at a sentence level. We are using deep convolutional neural networks to represent complex features. We train the network on a dataset providing a broad categorization of health information. Through a detailed evaluation, we demonstrate that our method outperforms several approaches widely used in natural language processing tasks by about 15%.

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