English  |  正體中文  |  简体中文  |  Items with full text/Total items : 16704/19003 (88%)
Visitors : 5600027      Online Users : 61
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/27709


    標題: An approach for early and appropriate prediction of dengue fever using white blood cells and platelets
    作者: Lai, Wen-Pin
    Chien, Tsair-Wei
    Chou, Ming-Ting
    貢獻者: 醫務管理系
    關鍵字: Dengue Fever
    White Blood Cells
    Platelets
    Roc Curve
    Discrimination Analysis
    日期: 2012
    上傳時間: 2014-03-21 16:18:23 (UTC+8)
    出版者: Drunpp-Sarajevo
    摘要: Introduction: Dengue fever (DF) is common in Asia. Dengue hemorrhagic fever (DHF) occurs predominantly in children less than 16 years old. In practice, the results of diagnostic tests, whenever available, are rarely received in time to be useful for immediate treatment in endemic regions. Our goal is to identify simple laboratory features to discriminate DF from non-dengue fever (NDF).Methods: There are two parts used to investigate the simple way discriminating DF. First, multivariate discrimination analyses were applied to those three statistical techniques of rotate axis, logistic regression and principle component analysis in detecting their effects. Second, three scaling schemes of dichotomy with coding 2 and 1, 1 and 0 as well as of polytomy coding 2, 1 and 0 on WBC and PLT by adding category scores were applied to verify the best model to predict Dengue fever. In this model, lower values tend to be DF.Results: WBC and PLT are the discriminatory variables that enable distinction between DF and NDF. Using the area under the ROC curve (AUC) to verify the efficacies of the three statistical prediction methods and coding schemes, we recommend that polytomy with a cut-point <= 2 by the coding scheme from 2 to 0 can be applied to clinical practice because it is easier and faster than other available prediction methods.Conclusions: We suggest using a polytomous coding scheme with a cut-point <= 2 as a technique for rapidly detecting DF. Further studies should be performed in different countries and areas in the future.
    關聯: Healthmed, 6(7), 806
    Appears in Collections:[醫務管理系(所)] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML541View/Open


    All items in CNU IR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback