CLApr 22, 2017
Medical Text Classification using Convolutional Neural Networks
arXiv:1704.06841v1214 citations
Originality Synthesis-oriented
AI Analysis
This work addresses medical text classification, which is incremental as it applies an existing method to a specific domain.
The authors tackled the problem of classifying clinical text at the sentence level using convolutional neural networks, achieving a 15% improvement over existing methods.
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%.