# Medical Text Classification using Convolutional Neural Networks

arXiv: https://arxiv.org/abs/1704.06841 · HTML: https://mlsanity.com/paper/1704.06841/

## Key facts

- Cited by 19 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Apr 2017.

## Built on by (most cited first, 19 of 19)

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- [EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts](https://mlsanity.com/paper/2204.06604/) (2022)
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- [New Arabic Medical Dataset for Diseases Classification](https://mlsanity.com/paper/2106.15236/) (2021)
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- [Estimating the severity of dental and oral problems via sentiment classification over clinical reports](https://mlsanity.com/paper/2401.12993/) (2024)
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## Abstract (arXiv)

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%.