Artificial Intelligence
Medical data: their acquisition, storage, and use
Medical informatics: computer applications in health care
Trading Accuracy for Simplicity in Decision Trees
Machine Learning
Interactive Case-Based Reasoning in Sequential Diagnosis
Applied Intelligence
Machine Learning
A Dynamic Approach to Reducing Dialog in On-Line Decision Guides
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
Hypothesist: A Development Environment for Intelligent Diagnostic Systems
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
Simplifying decision trees: A survey
The Knowledge Engineering Review
The foundations of cost-sensitive learning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
minimizing dialog length in interactive case-based reasoning
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Coherence, Explanation, and Bayesian Networks
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
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We present a new approach to test selection in sequential diagnosis (or classification) in the independence Bayesian framework that resembles the hypothetico-deductive approach to test selection used by doctors. In spite of its relative simplicity in comparison with previous models of hypothetico-deductive reasoning, the approach retains the advantage that the relevance of a selected test can be explained in strategic terms. We also examine possible approaches to the problem of deciding when there is sufficient evidence to discontinue testing, and thus avoid the risks and costs associated with unnecessary tests.