title: Representing CARE rules in a decision-theoretic formalism.
abstract: 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.
authors.affiliation: Center for Biomedical Informatics, University of Pittsburgh, USA.
authors.forename: M M
authors.initials: MM
authors.lastname: Wagner
authors.forename: J M
authors.initials: JM
authors.lastname: Overhage
authors.forename: E
authors.initials: E
authors.lastname: Rodriguez
authors.forename: G F
authors.initials: GF
authors.lastname: Cooper
mesh_terms: D003661:Decision Support Techniques; D003662:Decision Theory; D011381:Programming Languages; D017010:Reminder Systems