Skip to main content

Data Mining for Visualization of Health Processes (150 Patients)

  • Chapter
Machine Learning in Medicine - a Complete Overview

Abstract

Computer files of clinical data are often complex and multi-dimensional, and they are, frequently, hard to statistically test. Instead, visualization processes can be successfully used as an alternative approach to traditional statistical data analysis.

This chapter was previously published in “Machine learning in medicine-cookbook 3” as Chap. 1, 2014.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Cleophas, T.J., Zwinderman, A.H. (2015). Data Mining for Visualization of Health Processes (150 Patients). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_7

Download citation

Publish with us

Policies and ethics