Gerlach Herwig, Toussaint Susanne
Crit Care. 2007;11(4):146. doi: 10.1186/cc5950.
Today, computer-aided strategies in social sciences are an indispensable component of teaching programs. In recent years, microsimulation modeling has gained attention in its ability to represent predicted physiological developments visually, thus providing the user with a full understanding of the impacts of a proposed scheme. There are several microsimulation models in human medicine, and they can be either dynamic or static. If the model is dynamic the course of variables changes over time; in contrast, in the static case time constancy is assumed. In critical care there have been several approaches to implement microsimulation models to predict outcome. This commentary describes current approaches for predicting disease progression by using dynamic microsimulation in pneumonia-related sepsis.
如今，社会科学中的计算机辅助策略是教学计划中不可或缺的组成部分。近年来，微观模拟建模因其能够直观地呈现预测的生理发展过程而受到关注，从而为用户提供对拟议方案影响的全面理解。人类医学中有几种微观模拟模型，它们可以是动态的或静态的。如果模型是动态的，变量的过程会随时间变化；相比之下，在静态情况下则假定时间恒定。在重症监护领域，已经有几种实施微观模拟模型来预测结果的方法。本评论描述了通过使用动态微观模拟来预测肺炎相关脓毒症疾病进展的当前方法。
