Medical Text Classification using Convolutional Neural Networks
Computation and Language
2017-04-25 v1
Abstract
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%.
Cite
@article{arxiv.1704.06841,
title = {Medical Text Classification using Convolutional Neural Networks},
author = {Mark Hughes and Irene Li and Spyros Kotoulas and Toyotaro Suzumura},
journal= {arXiv preprint arXiv:1704.06841},
year = {2017}
}