Automatic International Classification of Diseases Coding via Note-Code Interaction Network with Denoising Mechanism-Reference-Cited by-同舟云学术

Automatic International Classification of Diseases Coding via Note-Code Interaction Network with Denoising Mechanism

Published:2023-08-01 Issue:8 Volume:30 Page:912-925
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Li Xiaobo¹,Zhang Yijia¹^ORCID,Li Xingwang¹,Pan Xianwei²,Wang Jian³,Lu Mingyu²

Affiliation:

1. School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning, China.

2. School of Artificial Intelligence, Dalian University of Technology, Dalian, Liaoning, China.

3. School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2023.0079

Reference26 articles.

1. Improving Medical Code Prediction from Clinical Text via Incorporating Online Knowledge Sources

2. Biswas B, Pham T-H, Zhang P. TransICD: Transformer based code-wise attention model for explainable ICD coding. In: International Conference on Artificial Intelligence in Medicine. Springer; 2021; pp. 469–478.

3. Cao P, Chen Y, Liu K, et al. HyperCore: Hyperbolic and co-graph representation for automatic ICD coding. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. ACL; 2020; pp. 3105–3114.

4. Ferreira MD, Malyska M, Sahar N, et al. Active learning for medical code assignment. In: ACM Conference on Health, Inference, and Learning (CHIL) Workshop. 2021.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Unified Review of Deep Learning for Automated Medical Coding;ACM Computing Surveys;2024-05-17