Health Examination Data Based Medical Treatment Prediction by Using SVM


KIPS Transactions on Software and Data Engineering, Vol. 6, No. 6, pp. 303-308, Jun. 2017
10.3745/KTSDE.2017.6.6.303,   PDF Download:
Keywords: Health Examination Data, Medical Treatment Prediction, Data Mining
Abstract

Nowadays, living standard is improved and people have high interest to the personal health care problem. Accordingly, people desire to know the personal physical condition and the related medical treatment. Thus, there is the necessary of the personalized medical treatment, and there are many studies about the automatic disease diagnosis and the related services. Those studies focus on the particular disease prediction which is based on the related particular data. However, there is no studies about the medical treatment prediction. In our study, national health data based medical treatment predictor is built by using SVM, and the performance is evaluated by comparing with other prediction methods. The experimental results show that the health data based medical treatment prediction resulted in the average accuracy of 80%, and the SVM performs better than other prediction algorithms.


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Cite this article
[IEEE Style]
M. Piao and J. Byun, "Health Examination Data Based Medical Treatment Prediction by Using SVM," KIPS Transactions on Software and Data Engineering, vol. 6, no. 6, pp. 303-308, 2017. DOI: 10.3745/KTSDE.2017.6.6.303.

[ACM Style]
Minghao Piao and Jeong-Yong Byun. 2017. Health Examination Data Based Medical Treatment Prediction by Using SVM. KIPS Transactions on Software and Data Engineering, 6, 6, (2017), 303-308. DOI: 10.3745/KTSDE.2017.6.6.303.