Skip to main content
SpringerLink
Log in

Business Intelligence and Data Mining

  • Chapter
  • First Online:
Healthcare Management Engineering: What Does This Fancy Term Really Mean?

Part of the book series: SpringerBriefs in Health Care Management and Economics ((BRIEFSHEALTHCARE))

Abstract

This chapter includes an application of business intelligence (BI) and data mining (DM) based on advanced multivariate data analysis. Two examples are presented: principal component decomposition of the large dataset of original observational data to identify contributing independent variables (BI), and cluster analysis (DM) to identify the distinct groups of population ZIP codes (clusters) in terms of patient contribution margins.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Glantz, S., Slinker, B., 2001. Applied Regression & Analysis of Variance. 2-nd Ed., McGraw-Hill, Inc

    Google Scholar 

  • Jobson, J.D., 1992. Applied Multivariate Data Analysis. V. 2. Categorical and Multivariate Methods. Springer-Verlag New-York, LLC

    Google Scholar 

  • Peek, N., 2010. Data Mining. Chapter 24. In: Yih, Yuehwern (Editor). Handbook of Healthcare Delivery Systems. CRC Press, Boca Raton, FL

    Google Scholar 

  • Tibshirani, R., Walther, G., Hastie, T., 2001. Estimating the Number of Clusters in a Dataset via the Gap Statistic. Journal of Royal Statistical Society, B. 63: 411–423

    Google Scholar 

  • Yoo, I., Alafaireet, P., Marinov, M., Pena-Hernandez, K., Gopidi, R, Chang, J-F., Hua, L., 2011. Data Mining in Healthcare and Biomedicine: A Survey of the Literature. J. Med. Systems, Published Online, May 3, 2011. DOI 10.1007/s10916-011-9710-5

  • Hand D., Mannila H., Smyth P., 2001. Principles of Data Mining. MIT Press, pp.546. DOI 10.1007/s10916-011-9710-5

Download references

Author information

Authors and Affiliations

  1. Children’s Hospital and Health System, Milwaukee, WI, 53201, USA

    Alexander Kolker

Authors
  1. Alexander Kolker
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alexander Kolker .

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Alexander Kolker

About this chapter

Cite this chapter

Kolker, A. (2012). Business Intelligence and Data Mining. In: Healthcare Management Engineering: What Does This Fancy Term Really Mean?. SpringerBriefs in Health Care Management and Economics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2068-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-2068-2_5

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-2067-5

  • Online ISBN: 978-1-4614-2068-2

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics

Search

Navigation