Data Mining (DM) techniques such as classification, clustering, association, regression etc. are widely used in healthcare field in recent years to help improve the quality, efficiency as well as lowering the cost of developing healthcare systems. Especially, with the rapid development of the cloud platform services, which not only reduces the cost (time and expenditure), but also breaks the boundaries of data transactions among different systems and users. Therefore, it provides an effective way to reduce the time, and cost of software development as well as up-to-date services. In our work, we designed and partially implemented a healthcare system based on cloud services for disease detection and prediction using DM techniques in order to provide better services for both patients and health care givers. Although the system has been partially implemented, the experimental results are encouraging.
['Dingkun Li', 'Hyun Woo Park', 'Musa Ibrahim M. Ishag', 'Erdenebileg Batbaatar', 'Keun Ho Ryu']
Design and Partial Implementation of Health Care System for Disease Detection and Behavior Analysis by Using DM Techniques