Abstract
A reliable model validation is crucial for the model’s corrections and, finally, clinical acceptance (3.3-R1.4.11). Similar to modeling, the appropriate data is often limited or unavailable. For an extensive model with only a small dataset, a reliable quantitative validation is impossible, and a complete qualitative validation is time-consuming and can effect an overfitting.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH , part of Springer Nature
About this chapter
Cite this chapter
Cypko, M.A. (2020). Model Validation. In: Development of Clinical Decision Support Systems using Bayesian Networks. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-32594-7_7
Download citation
DOI: https://doi.org/10.1007/978-3-658-32594-7_7
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)