Three classifiers for acute abdominal pain diagnosis – comparative study

Authors:
Michal Wozniak
Affiliations:
Chair of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland
Venue:
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Year:
2005

Citing 5
Cited 0

C4.5: programs for machine learning

C4.5: programs for machine learning
Machine Learning

Machine Learning
A Branch and Bound Algorithm for Primary Routes Assignment in Survivable Connection Oriented Networks

Computational Optimization and Applications
A bayes algorithm for the multitask pattern recognition problem - direct approach

ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Fuzzy decision trees: issues and methods

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

Abstract

The inductive learning algorithms are the very attractive methods generating hypothesis of the target concept on the base of the set of labeled examples. This paper presents some of the rules generation methods, their usefulness for the rule-base classifier and their quality of classification for the medical decision problem.