MedThaiSAGE:使用规则发现技术建议医疗保健政策的决策支持系统

J. Mitrpanont, Wudhichart Sawangphol, Jirayu Roungsuriyaviboon, Thada Sathapornwatanakul, Tinnapat Pillavas, Pattaraporn Sangaroonsilp, J. Haga
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引用次数: 1

摘要

泰国的医疗保健组织在日常工作中进行了一些医学研究,称为从日常到研究(R2R)。来自R2R的信息变得越来越重要,可以通过分析发现隐藏的有用知识,这可能会导致国家的政策。在分析数据时,应用关联规则发现技术和知识发现技术,发现R2R数据中相关变量的相关模式和关系。研究结果可作为政策制定者在决策过程中的依据。此外,还开发了MedThaiSAGE——一个基于web的应用程序,允许用户查看相关规则集并可视化相关信息。结果表明,公共卫生政策制定者可能会使用一些有趣的规则来制定政策,以改善并为泰国人民提供更好的医疗保健服务。
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MedThaiSAGE: Decision Support System to Suggest Healthcare Policies using Rule Findings Technique
A number of medical research is produced by healthcare organizations in Thailand from their routine work, called Routine to Research (R2R). The information from R2R is becoming more important and can be analyzed to find hidden useful knowledge, which may lead to policy of the country. To analyze the data, Association Rule Finding technique and Knowledge Discovery are applied to find relevant patterns and relationship of the related variables in R2R data. The result can be used as evidence for policy makers in the process of policy making. In addition, MedThaiSAGE--a web-based application is also developed to allow users to see the relevant set of rules and visualize related information. The results show that there are some interesting rules that likely to be used by Public Health Policy Makers to develop a policy in order to improve and provide Thai people better health care services.
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