Medical Text Classification Using Convolutional Neural Networks

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 t...

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Bibliographic Details
Published inStudies in health technology and informatics Vol. 235; p. 246
Main Authors Hughes, Mark, Li, Irene, Kotoulas, Spyros, Suzumura, Toyotaro
Format Journal Article
LanguageEnglish
Published Netherlands 2017
Subjects
Machine Learning
Natural Language Processing
Neural Networks (Computer)
Semantics
semantic clinical classification
Clinical text
convolutional neural network
sentence classification
Online AccessGet more information
ISSN0926-9630
DOI10.3233/978-1-61499-753-5-246

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Summary: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%.
ISSN:0926-9630
DOI:10.3233/978-1-61499-753-5-246