COMPUTER-AIDED DIAGNOSIS OF THE CRITICALLY ILL

随着重症监护室监测能力的提高 (ICU的）提供增强的数据处理的需求日益增长 更好的患者护理和更有效的使用 ICU人员。 许多生物医学监视器提供警报 (e.g.对于呼吸暂停），然而，需要一种系统来警告 ICU人员在突发事件发生前的应对更加微妙 生理指标。 我们计划研制两台微型计算机- 基于原型程序来检测某些急性呼吸道疾病 ICU里的异常 这些方案将利用 来自多床气体分析和流量测量的呼吸数据 系统，以及来自血气分析的数据。 之一 程序将基于递归的最新发展 用于模式分类的分割。 另一个程序将 使用专家系统外壳和标准表进行开发， 将允许相当大的灵活性，在建设的 生产规则。 在项目的第二阶段， 这两个方案将结合起来，产生的方案将是 在重症监护室实时运行 商业 应用包括急性呼吸道疾病的早期诊断 异常，并用作ICU人员的教学工具。

With the improved monitoring capabilities in intensive care units (ICU's) there is a growing need to provide enhanced data-processing capabilities both for better patient care and more effective use of ICU personnel. A number of biomedical monitors provide alarms (e.g. for apnea), however there is a need for a system to alert ICU personnel before emergencies occur by responding to more subtle physiological indicators. We propose to develop two microcomputer- based prototype programs to detect certain acute respiratory abnormalities in the ICU. These programs will make use of respiratory data from a multibed gas analysis and flow measurement system, as well as data from blood gas analysis. One of the programs will be based on recent developments in recursive partitioning for pattern classification. The other program will be developed using an expert system shell and criteria tables which will allow considerable flexibility in the construction of the production rules. In Phase II of the project the best features of both programs will be combined and the resulting program will be designed to run in real-time in the ICU. The commercial applications include early diagnosis of acute respiratory abnormalities and use as a teaching tool for ICU personnel.