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Encyclopedia of GIS pp 1–9Cite as

Biomedical Data Mining, Spatial

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Synonyms

Polynomials; Polynomials, orthogonal; Wavelets; Zernike; Zernike polynomials

Definition

The use of biomedical data in object classification presents several challenges that are well-suited to knowledge discovery and spatial modeling methods. In general, this problem consists of extracting useful patterns of information from large quantities of data with attributes that often have complex interactions. Biomedical data are inherently multidimensional and therefore difficult to summarize in simple terms without losing potentially useful information. A natural conflict exists between the need to simplify the data to make it more interpretable and the associated risk of sacrificing information relevant to decision support.

Transforming spatial features in biomedical data quantifies, and thereby exposes, underlying patterns for use as attributes in data mining exercises (Teh and Chin, 1988). To be useful, a data transformation must faithfully represent the original spatial...

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA

    Keith Marsolo

  2. College of Optometry, The Ohio State University, Columbus, OH, USA

    Michael Twa

  3. College of Optometry, The Ohio State University, Columbus, OH, USA

    Mark A. Bullimore

  4. Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA

    Srinivasan Parthasarathy

Authors
  1. Keith Marsolo
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  2. Michael Twa
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  3. Mark A. Bullimore
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  4. Srinivasan Parthasarathy
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Editor information

Editors and Affiliations

  1. Minneapolis, Minnesota, USA

    Shashi Shekhar

  2. Rutgers Business School, Newark, New Jersey, USA

    Hui Xiong

  3. The University of Iowa Tippie College of Business, Iowa City, Iowa, USA

    Xun Zhou

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© 2016 Springer International Publishing Switzerland

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Marsolo, K., Twa, M., Bullimore, M., Parthasarathy, S. (2016). Biomedical Data Mining, Spatial. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-23519-6_102-2

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  • DOI: https://doi.org/10.1007/978-3-319-23519-6_102-2

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  • Publisher Name: Springer, Cham

  • Online ISBN: 978-3-319-23519-6

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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