國家衛生研究院 NHRI:Item 3990099045/5090
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    題名: Mining the optimal clustering of people's characteristics of health care choices
    作者: Liu, CY;Liu, JS
    貢獻者: Division of Biostatistics and Bioinformatics
    摘要: In Asian countries, there has been a multi-choice healthcare environment for many years. In Taiwan, people's multiple health care seeking behavior has resulted in much heavier financial burden of National Health Insurance Program (NHIP) in recent years: investigating the characteristics of people who use multiple health care resources has gained increasing importance for health authorities. In this study, we investigated the socioeconomic and demographic characteristics which underlined people's choice of health care by using a population representative database. A novel methodology which incorporated k-means cluster analysis with v-fold cross-validation into Multiple Correspondence Analysis (MCA) is proposed. This novel methodology can help us to find the optimal attribute clustering of multiple health care utilization. By using this methodology, researchers not only can avoid the ambiguities of identifying clusters resulted from the traditional hierarchical cluster analysis (HCA), but also can provide more solid and evidence-based analysis for health policy making.
    日期: 2011-03
    關聯: Expert Systems with Applications. 2011 Mar;38(3):1400-1404.
    Link to: http://dx.doi.org/10.1016/j.eswa.2010.07.044
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0957-4174&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000284863200016
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=78049528359
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