Medical Text Classification Using Convolutional Neural Networks.
Journal:
Studies in health technology and informatics
Published Date:
Jan 1, 2017
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%.
