Natural language processing in urology: automated extraction of clinical information from histopathology reports of uro-oncology procedures
Objectives: We aimed to automate routine extraction of clinically relevant unstructured information from uro-oncological histopathology reports by applying rule-based and machine learning (ML)/deep learning (DL) methods to develop an oncology focused natural language processing (NLP) algorithm. Meth...
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Main Authors: | Huang, Honghong, Lim, Fiona Xin Yi, Gu, Gary Tianyu, Han, Matthew Jiangchou, Fang, Andrew Hao Sen, Chia, Elian Hui San, Bei, Eileen Yen Tze, Tham, Sarah Zhuling, Ho, Henry Sun Sien, Yuen, John Shyi Peng, Sun, Aixin, Lim, Jay Kheng Sit |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/169860 |
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Institution: | Nanyang Technological University |
Language: | English |
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