• Title/Summary/Keyword: 예방정책

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보건의료정책

  • Jeong Sang-Hyeok
    • 대한예방의학회:학술대회논문집
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    • 2004.07a
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    • pp.107-139
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    • 2004
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A Network Analysis on the Trend of Pressing Dementia Management Policy: Focusing on the Prevention of Dementia (치매관리정책의 언론보도 경향에 대한 네트워크 분석: 치매예방을 중심으로)

  • Choi, In-Kyu;Suh, Kyung-Do;Kim, Duck-Hwan;Choi, Ju-Keun
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.149-157
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    • 2018
  • The purpose of this study is to identify the tendency of media reports on the dementia management policy in Korea and to suggest policy implications such as prevention of dementia, improvement of awareness, and management of dementia through network analysis. We analyzed the linkage structure between the main texts centered on the number of citations of the main language related to the dementia management policy and the centrality and mediation as the research procedures and methods. As a result of the analysis, first, a 'micro' perspective is needed to explain practically. Second, it is desirable to understand the dementia management policy in the context of community. Third, the network structure of key words such as 'dementia management policy' suggests the possibility of research study in academic research in future research. Therefore, the phenomenon of dementia management policy will contribute to the direction of future dementia management policy, not local or temporary.

Modified Wu and Clements-Croome's PM model (수정된 Wu와 Clements-Croome의 예방보전 모형)

  • Jung, Ki Mun
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.791-798
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    • 2014
  • Wu and Clements-Croome (2005) suggest the preventive maintenance (PM) model with random maintenance quality. They assume that each PM resets the failure rate to zero and the rate of increases of the failure rate gets higher after each additional PM. However a system may not be restored to as good as new immediately after the completion of PM. Thus, this paper modifies the Wu and Clements-Croome's PM model and then the optimal PM policy is suggested. To determine the optimal PM policy, we utilize the expected cost rate per unit time for our model. That is, we obtain the optimal number and the optimal period by minimizing the expected cost rate per unit time. The numerical examples are presented for illustrative purpose.