A clinical text classification paradigm using weak supervision and deep representation-Reference-Cited by-同舟云学术

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A clinical text classification paradigm using weak supervision and deep representation

Published:2019-01-07 Issue:1 Volume:19 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Wang Yanshan^ORCID,Sohn Sunghwan,Liu Sijia,Shen Feichen,Wang Liwei,Atkinson Elizabeth J.,Amin Shreyasee,Liu Hongfang

Funder

National Institute on Aging

National Institute of General Medical Sciences

National Center for Advancing Translational Sciences

U.S. National Library of Medicine

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/s12911-018-0723-6.pdf

Reference75 articles.

1. Henricks WH. “Meaningful use” of electronic health records and its relevance to laboratories and pathologists. J Pathol Inform. 2011;2:7.

2. St. Sauver JL, Grossardt BR, Yawn BP, Melton LJ III, Rocca WA. Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project. Am J Epidemiol. 2011;173:1059–68.

3. Dean BB, Lam J, Natoli JL, Butler Q, Aguilar D, Nordyke RJ. Use of electronic medical records for health outcomes research: a literature review. Med Care Res Rev. 2009;66:611–38.

4. Jensen PB, Jensen LJ, Brunak S. Mining electronic health records: towards better research applications and clinical care. Nat Rev Genet. 2012;13:395–405.

5. Cheng LT, Zheng J, Savova GK, Erickson BJ. Discerning tumor status from unstructured MRI reports—completeness of information in existing reports and utility of automated natural language processing. J Digit Imaging. 2010;23:119–32.

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