Hybrid Attention Knowledge Fusion Network for Automated Medical Code Assignment
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5128-0_24
Reference18 articles.
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2. O'malley, K.J., Cook, K.F., Price, M.D., Wildes, K.R., Hurdle, J.F., Ashton, C.M.: Measuring diagnoses: ICD code accuracy. Health Serv. Res. 40(52), 1620–1639 (2005)
3. Sonabend, A., et al.: Automated ICD coding via unsupervised knowledge integration (UNITE). Int. J. Med. Informatics 139, 104135 (2020)
4. Johnson, A.E., et al.: Mimic-iii, a freely accessible critical care database. Sci. Data 3(1), 1–9 (2016)
5. Liu, Y., Cheng, H., Klopfer, R., Gormley, M.R., Schaaf, T.: Effective convolutional attention network for multi-label clinical document classification. In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 5941–5953 (2021)
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