@article{Lai_2014, title={Applying Data Mining Technology on National Health Insurance Research Database in Taiwan: HIV/AIDS as an Example}, volume={2}, url={https://ajouronline.com/index.php/AJAS/article/view/1970}, abstractNote={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.}, number={6}, journal={Asian Journal of Applied Sciences}, author={Lai, Yi-Horng}, year={2014}, month={Dec.} }