Cancer Registry Coding via Hybrid Neural Symbolic Systems in the Cross-Hospital Setting

Cancer Registry Coding via Hybrid Neural Symbolic Systems in the Cross-Hospital Setting

Cancer registries are critical databases for cancer research whose maintenance requires various types of domain knowledge with labor-intensive data curation. In order to facilitate the curation process with high quality in a timely manner, we developed a hybrid neural symbolic system for cancer regi...

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Bibliographic Details
Main Authors: Hong-Jie Dai, Yi-Hsin Yang, Ti-Hao Wang, Yan-Jie Lin, Pin-Jou Lu, Chung-Yang Wu, Yu-Cheng Chang, You-Qian Lee, You-Chen Zhang, Yuan-Chi Hsu, Han-Hsiang Wu, Cheng-Rong Ke, Chih-Jen Huang, Yu-Tsang Wang, Sheau-Fang Yang, Kuan-Chung Hsiao, Ko-Jiunn Liu, Li-Tzong Chen, I-Shou Chang, K. S. Clifford Chao, Tsang-Wu Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Electronic medical records
medical expert systems
medical information systems
natural language processing
Online Access:https://ieeexplore.ieee.org/document/9493200/

Internet

https://ieeexplore.ieee.org/document/9493200/

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