The structure of expert diagnostic knowledge in occupational medicine.
The structure of expert diagnostic knowledge in occupational medicine.
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职业医学专家诊断知识的结构。
DOI：
10.1002/ajim.4700190112
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发表时间：
1991
影响因子：
3.5
通讯作者：
Bailey,K
中科院分区：
文献类型：
--
作者：
Harber,P;McCoy,JM;Shimozaki,S;Coffman,P;Bailey,K
开发用于诊断职业性肺病的人工智能专家系统需要明确规范临床职业医学所需的知识结构，而不依赖于知识的使用过程。此外，明确承认不确定性的来源是必要的。职业肺医学诊断知识库由七类知识构成。这包括四个对象（工作、行业、暴露和疾病）和三个对象对之间的关系。这一分析展示了职业医学专业知识的一些独特方面。
Development of an artificial intelligence expert system for diagnosing occupational lung disease requires explicit specification of the structure of knowledge necessary in clinical occupational medicine independent of the process by which the knowledge is utilized. Furthermore, explicit recognition of sources of uncertainty is necessary. Seven categories of knowledge define the diagnostic knowledge base in occupational pulmonary medicine. These include four objects (jobs, industries, exposures, and diseases) and three relationships between pairs of objects. This analysis demonstrates some of the unique aspects of occupational medicine expertise.