基于医学知识的辅助系统体系结构

Proceedings IEEE Symposium and Workshop on Engineering of Computer-Based Systems Pub Date : 1996-03-11 DOI:10.1109/ECBS.1996.494572

H. Kindler, B. Fischer, D. Densow, T. Fliedner

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引用次数: 1

摘要

医学问题可以分层分解成子问题。一般来说，这些问题都是由人类来解决的。对于一些很少发生的子问题，例如为急性辐射综合征制定患者管理计划，或对于常规问题，例如为95%的病例生成实验室医学报告，知识库可以比人类更有效地执行任务。提出了一种基于医学知识的辅助系统体系结构，允许医生和知识库之间的合作来有效地解决医疗问题。协作是通过应用在黑板控制体系结构上实现的认知问题解决模型获得的。该体系结构已被原型实施并部分评估用于急性辐射综合征的医疗管理和实验室医学。

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An architecture for medical knowledge-based assistance systems

Medical problems can be hierarchically decomposed into subproblems. In general, the problems are solved by humans. For some very seldom occurring subproblems e.g. developing a patient management plan for the acute radiation syndrome, or for routine problems, e.g. report generation in laboratory medicine for 95% of the cases, knowledge-bases could perform the task more efficiently than humans. An architecture for medical knowledge-based assistance systems is presented allowing for the co-operation of physicians and knowledge-bases to efficiently solve medical problems. The collaboration is obtained by applying a cognitive problem-solving model implemented on a blackboard control architecture. The architecture has been prototypically implemented and partially evaluated for the medical management of the acute radiation syndrome and in laboratory medicine.

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Proceedings IEEE Symposium and Workshop on Engineering of Computer-Based Systems

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