Open Access
| Issue |
E3S Web of Conf.
Volume 529, 2024
International Conference on Sustainable Goals in Materials, Energy and Environment (ICSMEE’24)
|
|
|---|---|---|
| Article Number | 04014 | |
| Number of page(s) | 12 | |
| Section | Advanced Interdisciplinary Approaches | |
| DOI | https://doi.org/10.1051/e3sconf/202452904014 | |
| Published online | 29 May 2024 | |
- Yifan Wu, Min Zeng, Ying Yu, Yaohang Li and Min Li, “A Pseudo Label-wise Attention Network for Automatic ICD Coding”, IEEE Journal of Biomedical and Health Informatics, Volume 26, Issue 10, October 2022, Pages 5201 – 5212 [Google Scholar]
- Yuzhou Wu, Zhigang Chen, Xin Yao, Xuechen Chen, Zeren Zhou and Jinkai Xue, “JAN: Joint Attention Networks for Automatic ICD coding”, IEEE Journal of Biomedical and Health Informatics, Volume 26, Issue 10, October 2022, Pages 5235 – 5246 [Google Scholar]
- Leibo Liu, Oscar Perez-Concha, Anthony Nguyen, Vicki Bennett and Louisa Jorm, “Hierarchical label-wise attention transformer model for explainable ICD coding”, Journal of Biomedical Informatics, Elsevier, Volume 133, 2022, Pages 1–10 [Google Scholar]
- Wei Sun, Shaoxiong Ji, Erik Cambria and Pekka Marttinen, “Multitask Balanced and Recalibrated Network for Medical Code Prediction”, ACM Transactions on Intelligent Systems and Technology, Volume 14, Issue 1, November 2022, Pages 1–20 [Google Scholar]
- Yifan Wu, Min Zeng, Zhihui Fei, Ying Yu, Fang-Xiang Wu and Min Li, “KAICD: A knowledge attention-based deep learning framework for automatic ICD coding”, Neurocomputing, Elsevier, Volume 469, 16 January 2022, Pages 376–383 [Google Scholar]
- Hang Dong, Víctor Suárez-Paniagua, William Whiteley and Honghan Wu, “Explainable automated coding of clinical notes using hierarchical label-wise attention networks and label embedding initialization”, Journal of Biomedical Informatics, Volume 116,2021, Pages 1–18 [Google Scholar]
- Weidong Bao, Hongfei Lin, Yijia Zhang, Jian Wang and Shaowu Zhang, “Medical code prediction via capsule networks and ICD knowledge”, BMC Medical Informatics and Decision Making, Volume 21, July 2021, Pages 1–12 [Google Scholar]
- Shuyuan Hu, Fei Teng, Lufei Huang, Jun Yan and Haibo Zhang, “An explainable CNN approach for medical codes prediction from clinical text”, BMC Medical Informatics and Decision Making, Volume 21, Issue 256, 2021, Pages 1–11 [Google Scholar]
- Wendong Ge, Jin-Won Huh, Yu Rang Park, Jae-Ho Lee, Young-Hak Kim, Guohai Zhou and Alexander Turchin, “Using deep learning with attention mechanism for identification of novel temporal data patterns for prediction of ICU mortality”, Informatics in Medicine Unlocked, Elsevier, Volume 29, 2022, Pages 1–8 [Google Scholar]
- Xiaolin Diao, Yanni Huo, Shuai Zhao, Jing Yuan, Meng Cui, Yuxin Wang, Xiaodan Lian and Wei Zhao, “Automated ICD coding for primary diagnosis via clinically interpretable machine learning”, International Journal of Medical Informatics, Elsevier, Volume 153, September 2021, Pages 1–15 [Google Scholar]
- Mario Almagro, Raquel Martínez Unanue, Víctor Fresno and Soto Montalvo, “ICD-10 Coding of Spanish Electronic Discharge Summaries: An Extreme Classification Problem”, IEEE Access, Volume 8, May 2020, Pages 100073 – 100083 [Google Scholar]
- Qian Hu, Ning Liu, Jing Wang, Zhichao Wu, Xuan Zhang, Qiang Liu, Yixin Zhao, Feng Xu, “An overlapping sequence tagging mechanism for symptoms and details extraction on Chinese medical records”, Computers and Electrical Engineering, Volume 91, 2021, Pages 1–8 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.