International Journal of Advanced Culture Technology

  • 제7권2호
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  • Pages.238-243
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  • 2019
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  • 2288-7202(pISSN)
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  • 2288-7318(eISSN)
국제문화기술진흥원 (The International Promotion Agency of Culture Technology)
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Clustering for Home Healthcare Service Satisfaction using Parameter Selection

  • 투고 : 2019.05.13
  • 심사 : 2019.05.27
  • 발행 : 2019.06.30
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초록

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.

키워드

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Figure 1. A part of experimental data

E1GMBY_2019_v7n2_238_f0002.png 이미지

Figure 2. Experimental result

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Figure 3. Output of CV Parameter Selection

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Figure 4. Visualization for CV Parameter Selection

Table 1. General Characteristics of Subjects

E1GMBY_2019_v7n2_238_t0001.png 이미지

참고문헌

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