MedThaiSAGE: Decision Support System to Suggest Healthcare Policies using Rule Findings Technique

• Main Authors: Jarernsri Mitrpanont, Wudichart Sawangphol, Jirayu Roungsuriyaviboon, Thada Sathapornwatanakul, Tinnapat Pillavas, Pattaraporn Sangaroonsilp, Jason Haga
• Other Authors: National Institute of Advanced Industrial Science and Technology
• Format: Conference or Workshop Item
• Published: 2019
• Subjects: Computer Science
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/45581
• Institution: Mahidol University

© 2018 IEEE. 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.