HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding

Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong


Abstract
The International Classification of Diseases (ICD) provides a standardized way for classifying diseases, which endows each disease with a unique code. ICD coding aims to assign proper ICD codes to a medical record. Since manual coding is very laborious and prone to errors, many methods have been proposed for the automatic ICD coding task. However, most of existing methods independently predict each code, ignoring two important characteristics: Code Hierarchy and Code Co-occurrence. In this paper, we propose a Hyperbolic and Co-graph Representation method (HyperCore) to address the above problem. Specifically, we propose a hyperbolic representation method to leverage the code hierarchy. Moreover, we propose a graph convolutional network to utilize the code co-occurrence. Experimental results on two widely used datasets demonstrate that our proposed model outperforms previous state-of-the-art methods.
Anthology ID:
2020.acl-main.282
Volume:
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2020
Address:
Online
Editors:
Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3105–3114
Language:
URL:
https://aclanthology.org/2020.acl-main.282
DOI:
10.18653/v1/2020.acl-main.282
Bibkey:
Cite (ACL):
Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, and Weifeng Chong. 2020. HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 3105–3114, Online. Association for Computational Linguistics.
Cite (Informal):
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding (Cao et al., ACL 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.acl-main.282.pdf
Video:
 http://slideslive.com/38928939