Suppr超能文献

一种用于人类卵巢上皮癌组织病理学诊断的新型专家系统。

A new expert system for histopathological diagnosis of human ovarian epithelial cancer.

作者信息

Protopapa E, Miaoulis G, Ferreiro M, Panayiotides J, Katsikas S K, Delides G

机构信息

Metaxas Memorial Cancer Institute of Piraeus, Department of Pathology, Piraeus, Greece.

出版信息

In Vivo. 1993 Jul-Aug;7(4):369-72.

PMID:8218981
Abstract

A new rule-based expert system designed to assist pathologists in the histological diagnosis of human ovarian epithelial cancer has been developed. The system was implemented using the INSIGHT II+ EXPERT System Shell and runs on IBM compatible microcomputers. It operates using knowledge acquired through the literature, research and experience, formulated into a total of 195 IF-THEN rules. The WHO International Histological Classification of Tumours is being used throughout. The system can quickly focus on a differential problem, thereby reducing the time necessary to reach a conclusion. It has been tested on a set of 34 cases, previously examined by pathologists of the Metaxas Memorial Cancer Institute, and has been found to reach good agreement with the pathologists' diagnoses.

摘要

一个旨在辅助病理学家进行人类卵巢上皮癌组织学诊断的新型基于规则的专家系统已被开发出来。该系统使用INSIGHT II+专家系统外壳实现,并在IBM兼容微型计算机上运行。它利用通过文献、研究和经验获取的知识进行操作,这些知识被制定为总共195条“如果-那么”规则。整个过程采用了世界卫生组织国际肿瘤组织学分类。该系统可以快速聚焦于鉴别诊断问题,从而减少得出结论所需的时间。它已经在一组34个病例上进行了测试,这些病例之前由梅塔克萨斯纪念癌症研究所的病理学家检查过,结果发现与病理学家的诊断结果高度一致。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验