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Biomedical Informatics

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Encyclopedia of Machine Learning and Data Mining

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Introduction

Recent years have witnessed a tremendous increase in the use of machine learning for biomedical applications. This surge in interest has several causes. One is the successful application of machine learning technologies in other fields such as web search, speech and handwriting recognition, agent design, spatial modeling, etc. Another is the development of technologies that enable the production of large amounts of data in the time it used to take to generate a single data point (run a single experiment). A third most recent development is the advent of electronic medical/health records (EMRs/EHRs). The drastic increase in the amount of data generated has led the biologists and clinical researchers to adopt algorithms that can construct predictive models from large amounts of data. Naturally, machine learning is emerging as a tool of choice.

In this entry, we will present a few data types and tasks involving such large-scale biological data, where machine learning...

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Author information

Authors and Affiliations

  1. Department of Biostatistics and Medical Informatics, University of Wisconsin Medical School, 1300 University Avenue, 53706, Madison, WI, USA

    C. David Page

  2. Department of Computer Sciences, University of Wisconsin Medical School, 1300 University Avenue, 53706, Madison, WI, USA

    Sriraam Natarajan

  3. School of Informatics and Computing, Indiana University, 919 E 10th St, 47405, Bloomington, IN, USA

    Sriraam Natarajan

Authors
  1. C. David Page
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  2. Sriraam Natarajan
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Corresponding author

Correspondence to C. David Page .

Editor information

Editors and Affiliations

  1. Engineering (CSE), University of New South Wales School of Computer Science &, Sydney, New South Wales, Australia

    Claude Sammut

  2. Software Engineering, Monash University School of Computer Science &, Melbourne, Victoria, Australia

    Geoffrey I. Webb

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Page, C.D., Natarajan, S. (2014). Biomedical Informatics. In: Sammut, C., Webb, G. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7502-7_30-1

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  • DOI: https://doi.org/10.1007/978-1-4899-7502-7_30-1

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  • Publisher Name: Springer, Boston, MA

  • Online ISBN: 978-1-4899-7502-7

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