以决策理论形式表示CARE规则。
Representing CARE rules in a decision-theoretic formalism.
作者信息
Wagner M M, Overhage J M, Rodriguez E, Cooper G F
机构信息
Center for Biomedical Informatics, University of Pittsburgh, USA.
出版信息
Proc AMIA Annu Fall Symp. 1996:582-6.
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.
使用新的表示方法可能有助于提高提醒系统的性能。例如，决策理论表示法可使提醒系统能够表示并推理提醒是真警报还是假警报的概率以及这些事件的相对效用。我们扩展了先前描述的决策理论模型，以纳入此类事件。该模型现在明确表示发送提醒的不确定性、成本和收益。我们还扩展了该模型以消除提醒独立性的假设。作为检验该方法比基于规则的方法能支持更好性能这一假设的一步，我们分析了一组CARE规则，并表明我们的表示法能够表示这些规则。
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