INDEXING AND RETRIEVING INFORMATION

索引和检索信息

• 批准号: 3373894
• 负责人: JOHN Kenric VRIES
• 金额: $ 15.95万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-09-01 至 1991-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3373894
• 关键词: automated data processing; indexing; information retrieval; information system analysis

The goal of this proposal is to develop an expert system for archiving medical information. The main feature of the system will be the ability to automatically index medical text with keywords. Input to the system will consist of reports from medical charts, abstracts from the medical literature, and descriptive passages from teaching collections. The system will retrieve information through requests formulated in natural language, or through Boolean combinations of keywords. The knowledge base for the expert system will be a semantic network generated from thesauri of medical terms. The expert system shell; the natural language and Boolean retrieval routines and utilities for thesaurus construction have already been developed. Partial thesauri containing an average of 3,000 terms and 15,000 links have been constructed for neuropathology, neuroradiology, and psychiatry. These thesauri have been successfully tested in pilot studies of automated indexing and natural language retrieval. During the course of this project we will complete these thesauri and compare the performance of the full autoindexing system to human indexers. If these tests are successful, we will extend thesaurus construction to neurology and neurosurgery developing a merged thesaurus covering the clinical neurosciences. The expert system will then be integrated into a comprehensive medical information system under development at the University of Pittsburgh.

该提案的目标是开发一个专家系统，用于 存档医疗信息。该系统的主要特点是 将具有自动索引医学文本的能力 关键字。对系统的输入将包括来自 医学图表，医学文献摘要，以及 教学文集中的描述性段落。系统将 通过以自然语言表达的请求检索信息 语言，或通过关键字的布尔组合。这个 将知识库作为专家系统的语义网络 从医学术语同义词词典中生成。专家系统 外壳；自然语言和布尔检索例程以及 已经开发了用于构建同义词库的实用程序。 平均包含3,000个术语和15,000个术语的部分同义词库 已经建立了神经病理学、神经放射学、 和精神病学。这些同义词表已经在 自动标引和自然语言的初步研究 取回。在这个项目的过程中，我们将完成 并比较了这些同义词表的全部性能 自动索引系统到人工索引器。如果这些测试是 成功后，我们将把词库建设扩展到神经病学和 神经外科开发涵盖临床的合并同义词表 神经科学。然后，专家系统将被集成到一个 正在开发的综合医疗信息系统在 匹兹堡大学。