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- Objective To analyse the TCM syndrome of chronic fatigue syndrome (CFS) patients by discriminative analysis. 目的应用判别分析方法,对慢性疲劳综合征(CFS)的中医辨证分型进行研究。
- Aim: To improve the medical researchers' discriminative analysis of misu sed common statistics and the correct utilization ratio of statistics. 帮助医学研究工作者提高对常见统计应用错误的识别能力，提高对统计学的正确利用率。
- A fast discriminative analysis of PE and PVC food wrap films was carried out by means of Evolved Gas Analysis-Mass Spectrometry(EGA-MS). 应用释放气体分析-质谱(EGA-MS)技术对聚乙烯(PE)和聚氯乙烯(PVC)材料的保鲜膜进行了快速鉴别分析.
- Methods 237 CFS patients were collected to made a stepwise discriminative analysis of symptom variables, basing on their TCM syndromes. 方法收集237例CFS患者,根据患者中医证型,使用逐步判别分析方法,对变量进行分析。
- A fast discriminative analysis of PE and PVC food wrap films was carried out by means of Evolved Gas Analysis-Mass Spectrometry (EGA-MS). 摘要应用释放气体分析-质谱(EGA-MS)技术对聚乙烯(PE)和聚氯乙烯(PVC)材料的保鲜膜进行了快速鉴别分析。
- We used discriminate analysis for the remaining results. 我们运用辨别分析法分析其余的结果。
- Fisher Linear Discriminative Analysis(FLDA) FLDA
- Fuzzy kernel Fisher discriminative analysis 模糊核Fisher鉴别分析
- Kernel Fisher discriminative analysis 核Fisher鉴别分析
- LDA(linear discriminative analysis) 线性判别
- A discriminant analysis was performed to analyze each parameter and to compute a functional score. 应用判别式分析法对每一个参数进行处理并且计算出一个功能评分。
- Stepwise discriminant analysis was performed to obtain risk factors of CAA based on clinical and early laboratory data. 我们先以单变数统计方法来检验十六个临床和实验变数，发现在两群中只有白血球和C-反应蛋白质具有统计上之显著差异。
- Linear Discriminant Analysis (LDA) is one of the most popular linear classification techniques for feature extraction. 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。
- Chi-square test, one-way MANOVA, and discriminant analysis were used to analyze the data. 使用的统计方法包括：因素分析、卡方检定、多变量变异数分析及区辨分析。
- Kernel linear discriminant analysis (KLDA) is essentially a nonlinear feature extraction criterion. 核线性判别准则(KLDA)是一种非线性特征提取准则。
- The discriminant analysis and univariate analysis also revealed the similar results. 判别分析和单变量分析的结果亦与上述结论相符；
- This paper presents a feature selection method based on genetic algorithm GA) and linear discriminant analysis LDA). 摘要本文提出了一种基于遗传算法的基因微阵列数据特征提取方法。
- PLS-ANN Discriminant Analysis on Autofluorescence Spectra to Identify Gastric Cancer[J]. 引用该论文 马君;史晓凤;郑荣儿;朱玉平;李颖;毛伟征;孟继武.
- Then linear discriminant analysis was applied to classify the extracted features. 应用线性判别式分析对所提取的特征进行分类。
- The paper expounds the application of Bayes discriminant analysis in safety evaluation. 论述了多元统计分析方法中的贝叶斯判别分析方法在安全评价中的应用。
