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

Yi-Horng Lai

Abstract


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.

Keywords


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

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References


Taiwan Centers for Disease Control, “Communicable Diseases & Prevention - HIV/AIDS HIV/AIDS,” Health topics, Retrieved May 20, 2014 from http://www.cdc.gov.tw

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.


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