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논문 기본 정보

자료유형
학술저널
저자정보
Lee, Jae Hong (Ubivelox) Kim, Hyo Sun (Dept. of Medical IT, Eulji University) Jung, Yong Gyu (Dept. of Medical IT, Eulji University) Cha, Byung Heon (Dept. of Biomedical laboratory science Eulji University)
저널정보
(사)국제문화기술진흥원 The International journal of advanced culture technology The International journal of advanced culture technology 제7권 제2호
발행연도
2019.1
수록면
238 - 243 (6page)

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Recently, the importance of big data continues to be emphasized, and it is applied in various fields based on data mining techniques, which has a great influence on the health care industry. There are many healthcare industries, but only home health care is considered here. However, applying this to real problems does not always give perfect results, which is a problem. Therefore, data mining techniques are used to solve these problems, and the algorithms that affect performance are evaluated. This paper focuses on the effects of healthcare services on patient satisfaction and satisfaction. In order to use the CVParameterSelectin algorithm and the SMOreg algorithm of the classify method of data mining, it was evaluated based on the experiment and the verification of the results. In this paper, we analyzed the services of home health care institutions and the patient satisfaction analysis based on the name, address, service provided by the institution, mood of the patients, etc. In particular, we evaluated the results based on the results of cross validation using these two algorithms. However, the existence of variables that affect the outcome does not give a perfect result. We used the cluster analysis method of weka system to conduct the research of this paper.

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