线性评价方法 的翻译结果

  本文关键词：多项式评价线性在实验医学中的应用，，由笔耕文化传播整理发布。

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宏观经济管理与可持续发展

线性评价方法

     Methods According to polynomial linear evaluation method,we found the best-fit polynomial of the data making use of statistical software,then estimated the imprecision and linear degree of the data combined with the clinical goals.

     方法根据多项式线性评价方法,利用统计软件进行数据拟合,结合临床目标判断数据精密度和线性程度。

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     Conclusion The polynomial fitting curve is the perfect linear evaluation method. It guarantees both the accuracy and reliability of the experimental results, and is more suitable to clinic.

     结论多项式拟合曲线是较为理想的线性评价方法,既保证了实验结果的准确性、可靠性,而且更适用于临床。

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     Evaluation method of CT number linearity

     CT值线性评价方法

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     Grounded on the organic characteristic of individual's competencies and the synergic nature among competency elements, the fourth chapter studies the "synergy appraisal" method of knowledge workers' competencies in order to overcome the defect of traditional linear appraisal methods.

     基于能力的有机性和能力元素内部的共协性，第四章研究基于“共协观”的知识工作者效能评价方法，用以克服传统的简单线性评价方法的局限性。

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     The polynomial method can evaluate the linear degree of the laboratorial methods using statistical theory and considering clinical significance.

     多项式线性评价方法充分利用统计理论,结合临床可科学评价实验方法线性程度。

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     Evaluation method of CT number linearity

     CT值线性评价方法

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     The linearity of the method was well with the average recovery of 101.10%.

     该方法线性良好。

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     Simple talk about appraising method

     浅谈评价方法

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     ASSESSMENT METHOD OF NEPHELINE SYENITES IN CHINA

     霞石正长岩的评价方法

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     The method is simple and convenient, with good linearity.

     方法线性良好;

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Objective To explorethemethodfor computedtomography(CT)numberlinearityevaluation.Methods The modelCTP401of Catphan500phantomwas adoptedto test43setsof CT scannersunderthesamescanningconditions.1-and2-ordercurvefittingof thetestingresultsof eachscannerwereperformed,withthebendingof the2-orderfittedcurve definedas thedegreeof CT numbernon-linearityandtheslopeof thelinearfittingas contrastscale.The2-normsof thefitting coefficientswerecalculatedfor thepurposeof fittingqualityevaluation.MATLAB6.1was employedfor...

Objective To explorethemethodfor computedtomography(CT)numberlinearityevaluation.Methods The modelCTP401of Catphan500phantomwas adoptedto test43setsof CT scannersunderthesamescanningconditions.1-and2-ordercurvefittingof thetestingresultsof eachscannerwereperformed,withthebendingof the2-orderfittedcurve definedas thedegreeof CT numbernon-linearityandtheslopeof thelinearfittingas contrastscale.The2-normsof thefitting coefficientswerecalculatedfor thepurposeof fittingqualityevaluation.MATLAB6.1was employedfor programming.Results The2-normof thefittingcoefficientsof the2-orderfittingcurvewas approximately1/10of thatof corresponding linearfitting,indicatingthat2-orderfittingaccordedbetterto theparentpopulationdistributionpattern.Thedegreeof the non-linearitywas manifestedby thebendingof the2-orderfittingcurvethatincreasedmonotonouslywiththe2-normof the correspondinglinearfitting.Conclusion It is statisticallyvalidto defineCT numbernon-linearityandcontrastscaleon the basisof1and2-orderfittingsof thetestingresults,whichwellservesthepurposeof quantitativeanalysis.

目的探讨CT设备的CT值线性的评价方法。方法采用Catphan500体模,在相同扫描条件下对43台CT设备实施检测。对每台设备的检测结果做1、2阶曲线拟合,定义2阶拟合曲线的弯曲程度为CT值非线性度,计算拟合参数的2-范数来评价拟合品质,计算拟合直线的斜率及其拟合参数的2-范数来评价对比度标度和拟合品质。采用MATLAB6.1编程。结果比较拟合参数的2-范数,表明2阶拟合曲线更符合母体分布规律;2阶拟合曲线的弯曲程度随直线拟合参数的2-范数的增长呈单调增长趋势,很好地反映了非线性度。结论对检测结果分别做1、2阶曲线拟合,从而定义CT值非线性度和对比度标度是符合统计学原理的,达到了定量分析的目的。

Objective To discuss the clinical application of polynomial curves fitting.Methods Based on the experiments of TBIL, ALT, DBIL and Cr,the linear experimental data were polynomial fitted.Results The optimal polynomial of TBIL is y=-3.886+7.544x , and the evaluation is linear 1; The optimal polynomial of ALT is y=5.293+25.897x-0.043 x~2, and the evaluation is linear 2;The optimal polynomial of DBIL is y=-2.950+1.688x+0.011x~2, and it′s non-linear; The optimum polynomial of Cr is y=11.654+14.512x-0.010 x~2, and...

Objective To discuss the clinical application of polynomial curves fitting.Methods Based on the experiments of TBIL, ALT, DBIL and Cr,the linear experimental data were polynomial fitted.Results The optimal polynomial of TBIL is y=-3.886+7.544x , and the evaluation is linear 1; The optimal polynomial of ALT is y=5.293+25.897x-0.043 x~2, and the evaluation is linear 2;The optimal polynomial of DBIL is y=-2.950+1.688x+0.011x~2, and it′s non-linear; The optimum polynomial of Cr is y=11.654+14.512x-0.010 x~2, and the evaluation is inexactitude.Conclusion The polynomial fitting curve is the perfect linear evaluation method. It guarantees both the accuracy and reliability of the experimental results, and is more suitable to clinic.

目的探讨多项式拟合曲线在临床中的应用。方法以TBIL、ALT、DBIL、Cr4个实验项目为例,对其线性实验数据进行多项式拟合。结果TBIL项目最适多项式为y=-3.886+7.544x,评价为线性1;ALT项目最适多项式为y=5.293+25.897x-0.043x2,评价为线性2;DBIL项目最适多项式为y=-2.950+1.688x+0.011x2,评价为非线性;Cr项目最适多项式为y=11.654+14.512x-0.010x2,评价为不精密。结论多项式拟合曲线是较为理想的线性评价方法,既保证了实验结果的准确性、可靠性,而且更适用于临床。

Objective To investigate the linear degree of the routine biochemical items of our laboratory. Methods According to polynomial linear evaluation method,we found the best-fit polynomial of the data making use of statistical software,then estimated the imprecision and linear degree of the data combined with the clinical goals. Results The linear degree of different items was not the same. Conclusions Linear evaluation can ensure the laboratorial methods accurate and credible efficiently.The polynomial method can...

Objective To investigate the linear degree of the routine biochemical items of our laboratory. Methods According to polynomial linear evaluation method,we found the best-fit polynomial of the data making use of statistical software,then estimated the imprecision and linear degree of the data combined with the clinical goals. Results The linear degree of different items was not the same. Conclusions Linear evaluation can ensure the laboratorial methods accurate and credible efficiently.The polynomial method can evaluate the linear degree of the laboratorial methods using statistical theory and considering clinical significance.

目的调查我室常规检测生化项目实验方法的线性程度,探讨多项式评价线性在实验医学中的应用。方法根据多项式线性评价方法,利用统计软件进行数据拟合,结合临床目标判断数据精密度和线性程度。结果不同项目的线性判定结果不尽相同。结论线性评估可有效保证实验方法准确、可靠;多项式线性评价方法充分利用统计理论,结合临床可科学评价实验方法线性程度。

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  本文关键词：多项式评价线性在实验医学中的应用，由笔耕文化传播整理发布。