Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management-Reference-Cited by-同舟云学术

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Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case management

Published:2013-10 Issue:5 Volume:46 Page:869-875
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Garla Vijay,Taylor Caroline,Brandt Cynthia

Funder

NIH

CTSA

National Center for Advancing Translational Sciences (NCATS)

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference32 articles.

1. What can natural language processing do for clinical decision support?;Demner-Fushman;J Biomed Inform,2009

2. Using electronic health records to drive discovery in disease genomics;Kohane;Nat Rev Genet,2011

3. Sindhwani V, Niyogi P. Beyond the point cloud: from transductive to semi-supervised learning. In: In ICML; 2005. p. 824–31.

4. Chapelle O, Zien A. Semi-supervised classification by low density separation; 2005.

5. Characteristics and predictors of missed opportunities in lung cancer diagnosis: an electronic health record-based study;Singh;J Clin Oncol,2010

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