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首页> 外文会议>Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009 >A Novel Data Transformation Method for Serologic Diagnosis of Schistosomiasis Japonica
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A Novel Data Transformation Method for Serologic Diagnosis of Schistosomiasis Japonica

机译：一种新型的日本血吸虫病血清学诊断数据转换方法

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摘要

Our study established a new serodiagnostic data transformation method of schistosomiasis japonica such that the cut off value based on normal distribution can be used. Sera collected in 2 different Schistosoma japonica (S j) endemic areas were tested by using a S j specific IgG antibody detection kit. The data were assessed by Stata. Results indicated that before the proposed transformation, the specific antibody level of either population was not normally distributed, but after applying the transformation formula, the level of S j egg positive population was transformed to a normal distribution. As Kato Katz stool examination method may miss some infections, the antibody level of the egg negative population was still not normally distributed after the transformation. Based on the theory of normal distribution, a cutoff value was determined by the antibody level of S j egg positive population. We also proposed a new method to determine the cutoff value for serodiagnosis of S j in a population from S j endemic area.
机译：我们的研究建立了一种新型的日本血吸虫病血清学诊断数据转换方法，从而可以使用基于正态分布的临界值。使用Sj特异性IgG抗体检测试剂盒测试了在两个不同的日本血吸虫（Sj）流行地区收集的血清。数据由Stata评估。结果表明，在提出的转化之前，这两个群体的特异性抗体水平均未呈正态分布，但在应用转化公式后，S j卵阳性群体的水平已转化为正态分布。由于Kato Katz粪便检查方法可能会漏掉一些感染，因此转化后卵阴性人群的抗体水平仍未正常分布。根据正态分布理论，通过S j卵阳性人群的抗体水平确定一个临界值。我们还提出了一种确定Sj流行地区人群Sj血清学诊断的临界值的新方法。

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