Stochastic model of self-regulation decision making exemplified by decisions concerning hypoglycemia
Stochastic model of self-regulation decision making exemplified by decisions concerning hypoglycemia
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DOI：
10.1037/0278-6133.17.3.277
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发表时间：
1998-05-01
影响因子：
4.2
通讯作者：
Clarke, W
中科院分区：
文献类型：
--
作者：
Kovatchev, B;Cox, D;Clarke, W
以下序列-内部条件双右箭头症状感知双右箭头评估双右箭头决策对各种基于症状的自我调节过程进行建模。正式的数学模型通过连续变量描述前三个步骤，并通过二元变量描述第四步的决策。连续步骤之间的随机转移通过转移概率来量化。该模型通过 78 名胰岛素依赖型糖尿病患者的血糖水平估计、低血糖检测和治疗来说明。这些患者在 3 至 4 周内进行了 50 至 70 次数据收集试验，记录感知症状、认知运动表现、血糖主观估计、低血糖治疗决策和驾驶。模型参数的统计估计证明了这种方法对于理解低血糖的认识、检测和治疗作为基于症状的决策过程的实用性。
The following sequence-internal condition double right arrow symptom perception double right arrow appraisal double right arrow decision-models various symptom-based self-regulation processes. A formal mathematical model describes the first three steps by continuous variables and the decisions at the fourth step by binary variables. The stochastic transitions between the sequential steps are quantified by transition probabilities. The model is illustrated by blood glucose level estimation and detection and treatment of hypoglycemia in 78 patients with insulin-dependent diabetes mellitus. These patients made 50 to 70 data collection trials over 3 to 4 weeks recording perceived symptoms, cognitive-motor performance, subjective estimates of blood glucose, decisions about treatment of hypoglycemia, and driving. A statistical estimation of the model's parameters demonstrates the utility of this approach for understanding the awareness, detection, and treatment of hypoglycemia as a process of symptom-based decision making.