Representing CARE rules in a decision-theoretic formalism.
Improvement in the performance of reminder systems may be facilitated by the use of new representations. A decision-theoretic representation, for example, may enable a reminder system to represent and reason about the probabilities that a reminder will be a true or a false alarm and the relative utilities of these events. We extended a previously described decision-theoretic model to include such events. The model now represents explicitly the uncertainty, costs, and benefits of sending a reminder. We also extended the model to remove an assumption of reminder independence. As a step towards testing a hypothesis that this approach will support better performance than a rule-based approach, we analyzed a set of CARE rules and showed that our representation can represent these rules.
Wagner
M M
MM
Center for Biomedical Informatics, University of Pittsburgh, USA.
Overhage
J M
JM
Rodriguez
E
E
Cooper
G F
GF
D003661:Decision Support Techniques; D003662:Decision Theory; D011381:Programming Languages; D017010:Reminder Systems