A general supervised approach to segmentation of clinical texts-Reference-Cited by-同舟云学术

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A general supervised approach to segmentation of clinical texts

Published:2014-10 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE International Conference on Big Data (Big Data)
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Author:

Ganesan Kavita,Subotin Michael

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6973861/7004197/07004390.pdf?arnumber=7004390

Cited by 11 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. Text analysis framework for identifying mutations among non-small cell lung cancer patients from laboratory data;BMC Medical Research Methodology;2024-03-11

2. Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

3. Extraction, Labeling, Clustering, and Semantic Mapping of Segments From Clinical Notes;IEEE Transactions on NanoBioscience;2023-10

4. Modeling and Visualization of Clinical Texts to Enhance Meaningful and User-Friendly Information Retrieval;The 2nd International Electronic Conference on Healthcare;2023-02-27

5. A robust section identification method for scanned electronic health records;Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD);2023-01-04

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