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A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.

X. Yang, T. Lyu, C. Lee, J. Bian, W. Hogan, and Y. Wu. ICHI, page 1-3. IEEE, (2019)

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Siwei Lyu

Yong-Sang Lyu

Lyudmila Slaveykova Lyubenova

Anatoliy Lyubar

Other publications of authors with the same name

Developing and Validating a Computable Phenotype for the Identification of Transgender and Gender Nonconforming Individuals and Subgroups.Y. Guo, X. He, T. Lyu, H. Zhang, Y. Wu, X. Yang, Z. Chen, M. Markham, F. Modave, M. Xie and 4 other author(s). AMIA, AMIA, (2020)A Natural Language Processing Tool to Extract Quantitative Smoking Status from Clinical Narratives.X. Yang, H. Yang, T. Lyu, S. Yang, Y. Guo, J. Bian, H. Xu, and Y. Wu. ICHI, page 1-2. IEEE, (2020)Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset?M. Prosperi, S. Ghosh, Z. Chen, M. Salemi, T. Lyu, J. Zhao, and J. Bian. ICMHI, page 296-303. ACM, (2021)A scoping review of semantic integration of health data and information.H. Zhang, T. Lyu, P. Yin, S. Bost, X. He, Y. Guo, M. Prosperi, W. Hogan, and J. Bian. Int. J. Medical Informatics, (2022)Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.Y. Zhao, M. Prosperi, T. Lyu, Y. Guo, L. Zhou, and J. Bian. IEA/AIE, volume 12144 of Lecture Notes in Computer Science, page 333-344. Springer, (2020)The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records.P. Li, T. Lyu, K. Alkhuzam, E. Spector, W. Donahoo, S. Bost, Y. Wu, W. Hogan, M. Prosperi, D. Schatz and 6 other author(s). J. Am. Medical Informatics Assoc., 31 (1): 165-173 (December 2023)Identifying Clinical Risk Factors for Opioid Use Disorder using a Distributed Algorithm to Combine Real-World Data from a Large Clinical Data Research Network.J. Tong, Z. Chen, R. Duan, W. Lo-Ciganic, T. Lyu, C. Tao, P. Merkel, H. Kranzler, J. Bian, and Y. Chen. AMIA, AMIA, (2020)A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.X. Yang, T. Lyu, C. Lee, J. Bian, W. Hogan, and Y. Wu. ICHI, page 1-3. IEEE, (2019)Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.Y. Zhao, M. Prosperi, T. Lyu, Y. Guo, and J. Bian. CoRR, (2020)A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing.S. Yang, X. Yang, T. Lyu, X. He, D. Braithwaite, H. Mehta, Y. Guo, Y. Wu, and J. Bian. ICHI, page 618-619. IEEE, (2022)

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Disambiguation of "Lyu, Tianchen"

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A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.

Please choose a person to relate this publication to

Siwei Lyu

Siwei Lyu

Yong-Sang Lyu

Lyudmila Slaveykova Lyubenova

Anatoliy Lyubar

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lyu, Tianchen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.

Please choose a person to relate this publication to

Siwei Lyu

Siwei Lyu

Yong-Sang Lyu

Lyudmila Slaveykova Lyubenova

Anatoliy Lyubar

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

A Study of Deep Learning Methods for De-identification of Clinical Notes at Cross Institute Settings.