Haddawy P, Doan A, Kahn C E
Department of Electrical Engineering and Computer Science, University of Wisconsin, Milwaukee 53201, USA.
Med Decis Making. 1996 Oct-Dec;16(4):315-25. doi: 10.1177/0272989X9601600402.
Decision-theoretic refinement planning is a new technique for finding optimal courses of action. The authors sought to determine whether this technique could identify optimal strategies for medical diagnosis and therapy. An existing model of acute deep venous thrombosis of the lower extremities was encoded for analysis by the decision-theoretic refinement planning system (DRIPS). The encoding represented 6,206 possible plans. The DRIPS planner used artificial intelligence techniques to eliminate 5,150 plans (83%) from consideration without examining them explicitly. The DRIPS system identified the five strategies that minimized cost and mortality. The authors conclude that decision-theoretic planning is useful for examining large medical-decision problems.
决策理论细化规划是一种用于寻找最优行动方案的新技术。作者试图确定该技术是否能够识别出医学诊断和治疗的最优策略。通过决策理论细化规划系统（DRIPS）对现有的下肢急性深静脉血栓形成模型进行编码以进行分析。该编码代表了6206种可能的方案。DRIPS规划器使用人工智能技术，在未明确检查的情况下，从考虑范围中排除了5150种方案（83%）。DRIPS系统确定了使成本和死亡率最小化的五种策略。作者得出结论，决策理论规划对于研究大型医学决策问题是有用的。
