1. Articles mentioning both Nashville and Vanderbilt University

    1-24 of 34 1 2 »
    1. Comparison of natural language processing biosurveillance methods for identifying influenza from encounter notes.

      Comparison of natural language processing biosurveillance methods for identifying influenza from encounter notes. Ann Intern Med. 2012 Jan 3;156(1 Pt 1):11-8 Authors: Elkin PL, Froehling DA, Wahner-Roedler DL, Brown SH, Bailey KR Abstract Background: An effective national biosurveillance system expedites outbreak recognition and facilitates response coordination at the federal, state, and local levels. The BioSense system, used at the Centers for Disease Control and Prevention, incorporates chief ...
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    2. Applying active learning to assertion classification of concepts in clinical text.

      Applying active learning to assertion classification of concepts in clinical text. J Biomed Inform. 2011 Nov 22; Authors: Chen Y, Mani S, Xu H Abstract Supervised machine learning methods for clinical natural language processing (NLP) research require a large number of annotated samples, which are very expensive to build because of the involvement of physicians. Active learning, an approach that actively samples from a large pool, provides an alternative solution ...
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    3. patient-centered SMS text tagging in a medication management system.

      PASTE: patient-centered SMS text tagging in a medication management system. J Am Med Inform Assoc. 2011 Oct 8; Authors: Stenner SP, Johnson KB, Denny JC Abstract ObjectiveTo evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages.DesignMobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a ...
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    4. Applying semantic-based probabilistic context-free grammar to medical language processing - A preliminary study on parsing medication sentences.

      Applying semantic-based probabilistic context-free grammar to medical language processing - A preliminary study on parsing medication sentences. J Biomed Inform. 2011 Aug 12; Authors: Xu H, Abdelrahman S, Lu Y, Denny JC, Doan S Abstract Semantic-based sublanguage grammars have been shown to be an efficient method for medical language processing. However, given the complexity of the medical domain, parsers using such grammars inevitably encounter ambiguous sentences, which could be interpreted by ...
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    5. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries.

      A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries. J Am Med Inform Assoc. 2011 Apr 20; Authors: Jiang M, Chen Y, Liu M, Rosenbloom ST, Mani S, Denny JC, Xu H Objective The authors' goal was to develop and evaluate machine-learning-based approaches to extracting clinical entities-including medical problems, tests, and treatments, as well as their asserted status-from hospital discharge summaries written using natural ...
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    6. 1-24 of 34 1 2 »
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    1. (9 articles) Denny JC
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