高依赖环境下临床决策支持的因果概率模型

1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1992-10-01 DOI:10.1109/IEMBS.1992.5761284

R. Summers, E. Carson, S. Andreassen

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引用次数: 1

摘要

一个基于生理学的相关心血管、呼吸和相关过程的模型的病人居住在一个高度依赖的环境被描述。该模型将使用因果概率网络来实现，并将被调整为代表个体患者。它将提供建议，例如关于呼吸机治疗的变化，该模型还将用于检测和纠正设备故障和操作人员错误。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Causal probabilistic modelling for clinical decision support in the high dependency environment

A physiologically-based model of the relevant cardiovascular, respiratory and associated processes of a patient resident in a high dependency environment is described. The model will be implemented using a Causal Probabilistic Network, and will be tuned to represent the individual patient. It will provide advice, for instance regarding changes in ventilator therapy, and the model will also be used to detect and correct equipment malfunction and operator error.

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来源期刊

1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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