Value of Information Analysis
Probabilistic networks are constructed to support reasoning and decision making under uncertainty. A common solution to a reasoning problem is the posterior probability distribution over a hypothesis variable given a set of evidence. Similarly, the solution to a decision making problem is an optimal decision given a set of evidence. When faced with a reasoning or decision making problem, we may have the option to consult additional information sources for further information that may improve the solution. Value of information analysis is a tool for analyzing the potential usefulness of additional information before the information source is consulted.
KeywordsWhite Blood Cell Mutual Information Bayesian Network Information Analysis Conditional Probability Distribution
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