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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

Z. Liu, Y. Chen, B. Tang, X. Wang, Q. Chen, H. Li, J. Wang, Q. Deng, and S. Zhu. Journal of Biomedical Informatics, (2015)

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M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

Other publications of authors with the same name

Chemical-induced disease extraction via recurrent piecewise convolutional neural networks.H. Li, M. Yang, Q. Chen, B. Tang, X. Wang, and J. Yan. BMC Med. Inf. & Decision Making, 18 (S-2): 45-51 (2018)CMedTEX: A Rule-based Temporal Expression Extraction and Normalization System for Chinese Clinical Notes.Z. Liu, B. Tang, X. Wang, Q. Chen, H. Li, J. Bu, J. Jiang, Q. Deng, and S. Zhu. AMIA, AMIA, (2016)A combined measure for text semantic similarity.H. Li, Q. Chen, and X. Wang. ICMLC, page 1869-1873. IEEE, (2013)An automatic system to identify heart disease risk factors in clinical texts over time.Q. Chen, H. Li, B. Tang, X. Wang, X. Liu, Z. Liu, S. Liu, W. Wang, Q. Deng, S. Zhu and 2 other author(s). Journal of Biomedical Informatics, (2015)Reliability Evaluation of Power Supply System of Wastewater Treatment Plant.H. Li, and L. Wang. ICPS, page 191-195. IEEE, (2019)Chemical-induced disease extraction via convolutional neural networks with attention.H. Li, Q. Chen, B. Tang, and X. Wang. BIBM, page 1276-1279. IEEE Computer Society, (2017)An Initial Ingredient Analysis of Drugs Approved by China Food and Drug Administration.H. Li, Q. Chen, B. Tang, D. Huang, X. Wang, and Z. Liu. CCKS, volume 650 of Communications in Computer and Information Science, page 104-109. Springer, (2016)An Improved Method for Semantic Similarity Calculation Based on Stop-Words.H. Li, Q. Chen, and X. Wang. ICMLC (CCIS volume), volume 481 of Communications in Computer and Information Science, page 339-347. Springer, (2014)Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.Z. Liu, Y. Chen, B. Tang, X. Wang, Q. Chen, H. Li, J. Wang, Q. Deng, and S. Zhu. Journal of Biomedical Informatics, (2015)CNN-based ranking for biomedical entity normalization.H. Li, Q. Chen, B. Tang, X. Wang, H. Xu, B. Wang, and D. Huang. BMC Bioinformatics, 18 (S-11): 79-86 (2017)

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Disambiguation of "Li, Haodi"

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Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

Please choose a person to relate this publication to

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Li, Haodi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.

Please choose a person to relate this publication to

M.Sc. Yunxuan Li University of Stuttgart

Yu Li University of Stuttgart

Zheng Li University of Stuttgart

Jie Li University of Stuttgart

Li Zhong University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Automatic de-identification of electronic medical records using token-level and character-level conditional random fields.