A PROGRAM FOR THE MANAGEMENT OF HEART FAILURE

心力衰竭项目是一个资源相关的研究项目， 为计算机智能的应用开发新的推理方法 技术到医学的SUMEX-AIM社区的努力。 的 这项研究的背景和驱动力是心脏的管理 在重症监护室的失败。 我们将：1）开发一个 能够支持临床相关的代表性方法 患者状态的差异。 该表示将利用 具有临床意义的定性参数值，并将包括因果关系 关系、时间依赖性和关于变化的关系。 2)建立一个 心血管系统的定性生理模型， 方法学，以充当用于发展患者状态的知识的存储器。 第三章 探索和制定确定适当参数的策略 从输入数据，推理支持方法和 - 用于利用所述模型执行所述诊断推理的算法，以及 进行诊断的推理支持方法和推理学 推理的模型，推理支持方法和算法， 寻找可能的治疗方法并确定其潜在后果。 4)围绕这一核心建立一个程序，以帮助医生探索 他或她对个案影响的理解。 的 医生和程序将一起推理的情况下， 医生提供的想法和程序确保一致的考虑 的影响。 5)将这些技术推广到其他医疗领域 域.

The Heart Failure Program project is a resource-related research program to develop new reasoning methods for the application of Artifical Intelligence techniques to medicine for the effort of the SUMEX-AIM community. The context and driving force for this research is the management of heart failure in the intensive care setting. We will: 1) Develop a representational methodology capable of supporting the clinically relevant distinctions of patient state. This representation will utilize the clinically significant qualitative parameter values and will include causal relationships, time dependencies and relations about change. 2) Build a qualitative physiological model of the cardiovascular system using this methodology to act as a store for evolving knowledge of patient state. 3) Explore and develop strategies for determining the appropriate parameter values in the model from input data, reasoning support methods and heuristics for carrying out the diagnostic reasoning with the model, and reasoning support methods and heuristics for carrying out the diagnostic reasoning with the model, and reasoning support methods and heuristics for finding possible therapies and determining their potential consequences. 4) Build around this core a program to assist the physician in exploring his or her understanding of the implications in an individual case. The physician and program will reason together about the case with the physician providing ideas and the program assuring consistent consideration of the implications. 5) Generalize the techniques for use in other medical domains.