Skip to main content

Clinical Decision Model using Bayesian Networks

  • Chapter
  • First Online:
Development of Clinical Decision Support Systems using Bayesian Networks
  • 380 Accesses

Abstract

The following section introduces ordinary BN and BN extensions as well as modeling, validation and visualization techniques and tools. These principles are described in a depth that is necessary to follow methodologies in Part II. Finally, BN applications are described that were studied as a basis for this thesis.

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 69.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mario A. Cypko .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH , part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Cypko, M.A. (2020). Clinical Decision Model using Bayesian Networks. In: Development of Clinical Decision Support Systems using Bayesian Networks. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-32594-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-32594-7_4

  • Published:

  • Publisher Name: Springer Vieweg, Wiesbaden

  • Print ISBN: 978-3-658-32593-0

  • Online ISBN: 978-3-658-32594-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics