• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

GAMES II项目:基于医学知识的系统的通用架构。

GAMES II Project: a general architecture for medical knowledge-based systems.

作者信息

Bruno F, Kindler H, Leaning M, Moustakis V, Scherrer J R, Schreiber G, Stefanelli M

机构信息

SAGO SpA, Firenze, Italy.

出版信息

Comput Methods Programs Biomed. 1994 Oct;45(1-2):79-81. doi: 10.1016/0169-2607(94)90021-3.

DOI:10.1016/0169-2607(94)90021-3
PMID:7889771
Abstract

GAMES II aims at developing a comprehensive and commercially viable methodology to avoid problems ordinarily occurring in KBS development. GAMES II methodology proposes to design a KBS starting from an epistemological model of medical reasoning (the Select and Test Model). The design is viewed as a process of adding symbol level information to the epistemological model. The architectural framework provided by GAMES II integrates the use of different formalisms and techniques providing a large set of tools. The user can select the most suitable one for representing a piece of knowledge after a careful analysis of its epistemological characteristics. Special attention is devoted to the tools dealing with knowledge acquisition (both manual and automatic). A panel of practicing physicians are assessing the medical value of such a framework and its related tools by using it in a practical application.

摘要

GAMES II旨在开发一种全面且具有商业可行性的方法,以避免知识库开发中通常出现的问题。GAMES II方法建议从医学推理的认识论模型(选择与测试模型)开始设计知识库。该设计被视为向认识论模型添加符号级信息的过程。GAMES II提供的架构框架整合了不同形式主义和技术的使用,提供了大量工具。用户在仔细分析其认识论特征后,可以选择最合适的工具来表示一条知识。特别关注处理知识获取(手动和自动)的工具。一组执业医师正在通过在实际应用中使用该框架及其相关工具来评估其医学价值。

相似文献

1
GAMES II Project: a general architecture for medical knowledge-based systems.GAMES II项目:基于医学知识的系统的通用架构。
Comput Methods Programs Biomed. 1994 Oct;45(1-2):79-81. doi: 10.1016/0169-2607(94)90021-3.
2
Knowledge-acquisition tools for medical knowledge-based systems.用于基于医学知识的系统的知识获取工具。
Methods Inf Med. 1995 Mar;34(1-2):25-39.
3
A specialized framework for Medical Diagnostic Knowledge Based Systems.基于医学诊断知识的系统的专业框架。
Proc Annu Symp Comput Appl Med Care. 1991:1025-31.
4
A specialized framework for medical diagnostic knowledge-based systems.一种用于基于医学诊断知识的系统的专门框架。
Comput Biomed Res. 1992 Aug;25(4):351-65. doi: 10.1016/0010-4809(92)90025-6.
5
Inferential knowledge acquisition.推理知识获取
Artif Intell Med. 1993 Jun;5(3):253-68. doi: 10.1016/0933-3657(93)90028-2.
6
Applying artificial intelligence to clinical guidelines: the GLARE approach.将人工智能应用于临床指南:GLARE方法。
Stud Health Technol Inform. 2008;139:273-82.
7
Ontology-based configuration of problem-solving methods and generation of knowledge-acquisition tools: application of PROTEGE-II to protocol-based decision support.基于本体的问题解决方法配置与知识获取工具生成:PROTEGE-II在基于协议的决策支持中的应用
Artif Intell Med. 1995 Jun;7(3):257-89. doi: 10.1016/0933-3657(95)00006-r.
8
Using computer software to improve group decision-making.使用计算机软件改善群体决策。
Long Range Plann. 1991 Aug;24(4):44-57. doi: 10.1016/0024-6301(91)90006-a.
9
Intelligent knowledge retrieval for decision support in medical applications.用于医疗应用中决策支持的智能知识检索
Stud Health Technol Inform. 2001;84(Pt 1):498-502.
10
Data driven medical decision support based on Arden Syntax within the HELIOS environment.基于赫利俄斯环境中 Arden 语法的数据驱动型医学决策支持。
Comput Methods Programs Biomed. 1994 Dec;45 Suppl:S97-106.