Applying Data Mining Technology on National Health Insurance Research Database in Taiwan: HIV/AIDS as an Example

Yi-Horng Lai


Human immunodeficiency virus (HIV) had great impact on global medicine and public Health since it was found in 1980. Studies related to utilization of medical resource on HIV/AIDS were popular in the other countries; however, such studies are rare in Taiwan. The purpose of this study is to identify characteristics of patients with HIV/AIDS and patient’s medical information in the National Health Insurance Research database (NHIRD) by using data mining technique in CHAID decision tree and Two-stage clustering analysis. The result can be used to assist health care workers to identify the patient groups which have high-risk to suffering from HIV/AIDS and develop the prevent strategies. The result separated patients to three groups. With the result of this study, practitioners pay more attention to the patient’s past history and long-term treatment of the disease, particularly in high-relevance department.


HIV/AIDS Patients, data mining, CHAID decision tree, Two-stage clustering analysis

Full Text:



Taiwan Centers for Disease Control, “Communicable Diseases & Prevention - HIV/AIDS HIV/AIDS,” Health topics, Retrieved May 20, 2014 from

Li, N., Li, X,, Wang, X., Shao, J., & Dou, J., “A Cross-Site Intervention in Chinese Rural Migrants Enhances HIV/AIDS Knowledge, Attitude and Behavior,” International Journal of Environmental Research and Public Health, 11(4), pp. 4528-4543, 2014.

Ford, K., Chamratrithirong, A., Apipornchaisakul, K., Panichapak, P., & Pinyosinwat, T., “Social Integration, AIDS Knowledge and Factors Related to HIV Prevention among Migrant Workers in Thailand,” AIDS and Behavior, 18(2), pp. 390-397, 2014.

Grupe, F. H., & Owrang, M. M., “Data Base Mining Discovering New Knowledge and Competitive Advantage,” Information Systems Management, 12(4), pp. 26-31, 1995.


  • There are currently no refbacks.