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一种采用诊断加权数的启发式医学知识分级推理算法

A staged medical knowledge inference strategy with diagnostic weight sum as heuristics
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摘要 本文提出了一种以诊断加权数为信息的分级启发式搜索算法。系统将医学知识分为两层知识结构,推理过程是逐步求精地逼近诊断结论.加权数的合理设计及其动态更新使系统控制的重点始终集中在寻找那些具有最大可能诊断的临床问题求解路径。 A staged searching algorithm with diagnostic weight sums as heuristics is presented in the paper. The diagnostic medical knowledge or expertise is classified into two levels of knowledge representation. The deductive process leads step by step toward the final diagnosis. The rational design of diagnostic weight sums as well as their dynamic updating causes the system reasoning mechanism to concentrate its searching on those problem-solving paths which makes for the greatest possible discase diagnosis.
机构地区 浙江大学 江西大学
出处 《中国医疗器械杂志》 CAS 1991年第3期137-140,共4页 Chinese Journal of Medical Instrumentation
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