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CLINICAL APPLICATIONS AND DATA MINING

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Biomedical Engineering

Abstract

As the quantity of medical patient data available to the number of physicians increases, Electronic Healthcare Record (EHR) systems become a necessity for providing more reliable and better quality healthcare [1]. The benefit of using EHR’s is dramatic enough that several nations, including the United States, have enacted legislation to provide strong incentives encouraging the use of Electronic Healthcare Records (EHR), as well as penalties for failing to use them [2]. These factors combine to make the adoption of EHR over paper-based systems inevitable. As the use of EHR increases, biomedical practitioners should be expected to make the best possible use of the wealth of computable patient data EHR systems will contain.

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Authors and Affiliations

  1. Birmingham, AL, USA

    David E. Robbins

Authors
  1. David E. Robbins
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  2. Marco Chiesa
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Correspondence to David E. Robbins .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Texas A&M University - Commerce, Commerce, 75429, Texas, USA

    Sang C. Suh

  2. at Birmingham, Department of Neurology, The University of Alabama, 3rd Avenue South 1530, Birmingham, 35294, Alabama, USA

    Varadraj P. Gurupur

  3. at Birmingham, Department of Electrical, The University of Alabama, 3rd Avenue South 1530, Birmingham, 35294, Alabama, USA

    Murat M. Tanik

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Robbins, D.E., Chiesa, M. (2011). CLINICAL APPLICATIONS AND DATA MINING. In: Suh, S., Gurupur, V., Tanik, M. (eds) Biomedical Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0116-2_13

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  • DOI: https://doi.org/10.1007/978-1-4614-0116-2_13

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-0115-5

  • Online ISBN: 978-1-4614-0116-2

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