Development and Evaluation of Telemedicine Support System based on Rule-based and Case-based Reasoning

基于规则和案例推理的远程医疗支持系统的开发与评估

• 批准号: 12680386
• 负责人: TSUMOTO Shusaku
• 金额: $ 1.54万
• 依托单位: Shimane Medical University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2000
• 资助国家: 日本
• 起止时间: 2000 至 2001
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-12680386/
• 关键词: Artificial Intelligence; Knowledge Engineering; Expert System; Case-based reasoning; rule-based system; e-Health; telemedicine; ルールベースシステム; 症例準拠推論; データマイニング; ラフ集合

In early 1980s, many medical expert system were developed with knowledgebase which are acquired from medical experts, and their performance was almost as good as domain experts. However, they were not frequently used mainly due to the poor user interface and the lack in learning new knowledge. However, the solutions of these two problems have been introduced since 1990s. For the latter problem, machine learning methods have provided several solutions, and for the former problem, the rapid progress of web technologies enables us to implement a good user interface.Furthermore, recent advances in computer resources strengthen these two solusions. In this report, we focus on the interface problem. The recent advances in web technologies were used for an efficient interface of medical expert system. Then, the system was put on the internet to provide an intelligent decision support in telemedicine and is now being evaluated by region medical home doctors. The results show that such an internet-based medical decision support enables home doctors to take a quick action to the applied domain.

80年代初，许多医学专家系统都是以医学专家的知识库为基础开发的，其性能几乎与领域专家相当。然而，它们并不经常使用，主要是由于用户界面差和缺乏学习新知识。然而，这两个问题的解决方案是从20世纪90年代开始提出的。对于后一个问题，机器学习方法已经提供了多种解决方案，对于前一个问题，Web技术的快速发展使我们能够实现良好的用户界面，而且计算机资源的最新进展加强了这两种解决方案。在本报告中，我们重点讨论接口问题。Web技术的最新进展被用于医学专家系统的有效接口。然后，该系统被放在互联网上，为远程医疗提供智能决策支持，目前正在由区域医疗家庭医生进行评估。结果表明，这种基于互联网的医疗决策支持，使家庭医生采取快速行动的应用领域。

项目成果

Tsumoto, S: "Discovery of Temporal Knowledge in Medical Time-Series Databases Using Moving Average, Multiscale Matching, and Rule Induction"Proceedings of PKDD2001. 448-459 (2001)

Tsumoto, S：“使用移动平均、多尺度匹配和规则归纳在医学时间序列数据库中发现时态知识”PKDD2001 论文集。

Tsumoto, S.: "Statistical Extension of Rough Set Induction"Proceedings of SPIE. 4384. 180-188 (2001)

Tsumoto, S.：“粗糙集归纳的统计扩展”SPIE 会议录。

S.Yokoyama, K.Matsuoka, S.Tsumoto, et al.: "Study on the Association between the Patient's Clinical Background and the Anaerobes by Data Mining in Infectious Disease Database"Journal of Biomedical Fuzzy System Asoociataion. 7・2. 121-128 (2001)

S. Yokoyama、K. Matsuoka、S. Tsumoto 等：“通过传染病数据库中的数据挖掘研究患者的临床背景与厌氧菌之间的关联”《生物医学模糊系统协会杂志》7・2。 128（2001）

Tsumoto, S.: "Medical Knowledge Discovery in Hospital Information System"Proceedings of SPIE. 4384. 229-237 (2001)

Tsumoto, S.：“医院信息系统中的医学知识发现”SPIE 会议录。

Polkowski,L.,Tsumoto,S.Lin,T.Y. (eds.): "Rough Sets and their applications"Physica Verlag. 682 (2000)

波尔科斯基,L.,津本,S.Lin,T.Y.