Rutledge G W, Thomsen G E, Farr B R, Tovar M A, Polaschek J X, Beinlich I A, Sheiner L B, Fagan L M
Section on Medical Informatics, Stanford University, CA 94305-5479.
Artif Intell Med. 1993 Feb;5(1):67-82. doi: 10.1016/0933-3657(93)90006-o.
VentPlan is an implementation of the architecture developed by the qualitative-quantitative (QQ) research group for combining qualitative and quantitative computation in a ventilator-management advisor (VMA). VentPlan calculates recommended settings for four controls of a ventilator by evaluating the predicted effects of alternative ventilator settings. A belief network converts clinical diagnoses to distributions on physiologic parameters. A mathematical-modeling module applies a patient-specific mathematical model of cardiopulmonary physiology to predict the effects of alternative ventilator settings. A decision-theoretic plan evaluator ranks the predicted effects of alternative ventilator settings according to a multiattribute-value model that specifies physician preferences for ventilator treatments. Our architecture allows VentPlan to interpret quantitative observations in light of the clinical context (such as the clinical diagnosis). We report a retrospective study of the ventilator-setting changes encountered in postoperative patients in a surgical intensive-care unit (ICU). We conclude that the QQ architecture allows VentPlan to apply a patient-specific physiologic model to calculate ventilator settings that are optimal with respect to a decision-theoretic value model describing physician preferences for setting the ventilator.
VentPlan是定性-定量(QQ)研究小组开发的一种架构的具体实现,用于在呼吸机管理顾问(VMA)中结合定性和定量计算。VentPlan通过评估替代呼吸机设置的预测效果来计算呼吸机四个控制参数的推荐设置。一个信念网络将临床诊断转化为生理参数的分布。一个数学建模模块应用特定患者的心肺生理数学模型来预测替代呼吸机设置的效果。一个决策理论计划评估器根据一个多属性值模型对替代呼吸机设置的预测效果进行排序,该模型规定了医生对呼吸机治疗的偏好。我们的架构允许VentPlan根据临床背景(如临床诊断)来解释定量观察结果。我们报告了一项对外科重症监护病房(ICU)术后患者呼吸机设置变化的回顾性研究。我们得出结论,QQ架构允许VentPlan应用特定患者的生理模型来计算相对于描述医生设置呼吸机偏好的决策理论价值模型而言最优的呼吸机设置。