Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) Increasing Acceptability of Decision Trees with Domain Attributes Partial Orders Maribor, Slovenia June 20-June 22 ISBN: 0-7695-2905-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.59
There are several domains, such as health-care, in which the decision process usually has a background knowledge that must be considered. We need to maximize the accuracy of the models, but we also need them to be meaningful. Otherwise it will lead to the problem that the expert finds the obtained models incomprehensible. We propose a way for representing the knowledge of the experts in order to modify the C4.5 algorithm to produce decision trees which are more comprehensible to medical doctors without losing accuracy.
Citation:
Joan Albert Lopez-Vallverdu, David Riano, Antoni Collado, "Increasing Acceptability of Decision Trees with Domain Attributes Partial Orders," cbms, pp.569-574, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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