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bayes theory     
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  贝叶斯理论
     Application of Data Mining with the Bayes Theory in Information of Universities
     基于贝叶斯理论的数据挖掘在高校信息管理的应用研究
短句来源
     The Reliability Evaluation Methods of the Products of Electrical Engineering and the Applications of the Bayes Theory
     电工产品可靠性评估方法与贝叶斯理论的应用
短句来源
     An optimization model of employee setup based on Bayes theory
     基于贝叶斯理论的员工配置优化模型
短句来源
     Then ,we researched the basic concepts and theories of data mining were introduced, and the technology of data mining in the Bayes theory.
     本文概述了数据挖掘的基本原理和基本概念,详细讨论了基于贝叶斯理论的数据挖掘技术,在分析和总结了大专院校信息内容的基础上,研究了针对大专院校的基于贝叶斯理论的数据挖掘技术应用。
短句来源
     A Method of Risk Rule Mining in IT Project Based on Rough Set and Bayes Theory
     基于粗糙集和贝叶斯理论的IT项目风险规则挖掘
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  bayes理论
     Research on missile storage reliability test based on Bayes theory
     基于Bayes理论的导弹贮存可靠性试验研究
短句来源
     Predicting Large Amount of Accrued Payables to Redeem Open-End Funds on Bayes Theory Basis
     应用Bayes理论预测开放式基金大额赎回量
短句来源
     Bayes theory is applied in the evaluation of the management level of weapon system development departments.
     将Bayes理论应用于对武器系统研制单位管理水平的评估.
短句来源
     When it comes to feature-based image fusion, we make use of Mean-Shift to extract appropriate features according to the characteristics of Radarsat and Landsat images, then apply the Bayes theory to feature level fusion classification.
     在特征级的图像融合中,我们针对Radarsat和Landsat图像的特点,采用滑动窗方法提取适当的特征,然后用Bayes理论来进行特征层的融合分类。
短句来源
     In the parameter-basedfusion methods, we analyze the applicability of the Bayes theory and Neyman-Pearson rule when they are applied to identity verification systems;
     在有参数的融合方法中,分析了Bayes理论和Neyman-Pearson准则在融合时的适用范围;
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  bayes定理
     Effectively corrected short disadvantages of dynamic load balance algorithm based on Bayes theory,provide the working mechanism and the realization method of the improved algorithm.
     基于Bayes定理可有效地改正动态负载平衡算法的弊端,得到改进算法的工作机制和实现方法。
短句来源
  bayes定律
     The Application of Bayes Theory to the Relapse of Hereditary Disease from Single Gene
     Bayes定律在单基因遗传病再发风险估计中的应用
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      bayes theory
    Moreover this solution coincides with the one obtained from Bayes theory with a β prior.
          
    The Bayes theory is used to find a quasi-optimal algorithm for filtering of a Markov sequence with a gamma distribution in the class of Y2-minimax rules based on non-Gaussian approximations for a posteriori distributions.
          
    We used the Fourier transform to reveal important periods and chose the two strongest periods to serve as parameters to a classification system based on Bayes' theory.
          
    Confidence measures for the class and pose estimates, derived using Bayes theory, determine when additional observations are required, as well as where the sensor should be positioned to provide the most useful information.
          
    We begin with an outline of Bayes theory, using it to discuss well-known quantities such as priors, likelihood and posteriors, and we provide the basic Bayesian fusion equation.
          
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    Based on our ten years' experience in diagnosis and differential diagnosis of primary liver cancer (PLC), positivities of 18 parameters including history, symptoms, signs, alpha fetoprotein (AFP) level, laboratory findings, ultrasound, liversoan, etc. have been selected for differential diagnosis of the following diseases; namely subclini-cal PLC, clinical PLC, AFP negative PLC or secondary liver cancer, liver cirrhosis in active stage, liver cirrhosis with atrophy, chronic hepatitis in active stage, liver hemangioma,...

    Based on our ten years' experience in diagnosis and differential diagnosis of primary liver cancer (PLC), positivities of 18 parameters including history, symptoms, signs, alpha fetoprotein (AFP) level, laboratory findings, ultrasound, liversoan, etc. have been selected for differential diagnosis of the following diseases; namely subclini-cal PLC, clinical PLC, AFP negative PLC or secondary liver cancer, liver cirrhosis in active stage, liver cirrhosis with atrophy, chronic hepatitis in active stage, liver hemangioma, hepatic cyst and liver abscess. The probability of the diagnosis was calculated using Bayes Theory and employing APPLESOFT BASIC as programming language.237 pathologically verified oases covering all of the diseases mentioned above had been testified by a 48K APPLE TYPE II microcomputer. The total accuracy of computer-aided diagnosis of 237 oases of 9 types of disorders was 91.6% as compared with pathological diagnosis. Among them 155 cases of AFP positive PLC gained the highest accuracy 99.4%, while AFP negative PLC 89.2%. The overall accuracy rata in different disorders was: liver cancer 97.4% (187/192), hepatic cyst 85.7% (12/ 14), liver hemangioma 75.0% (9/12) and liver abscess 60% (3/5). It was rather difficult to differentiate cirrhosis and chronic hepatitis from liver cancer that the accuracy was reduced to 43% (6/14) only, according to the false negative (2.6%) and false positive (4.6%) were insignificant. The overall accuracy of computer-aided diagnosis might be comparable with clinical diagnostic accuracy by high level specialists of liver caneer (90.7%). It seems that computer-aided certainly has the definite advanges in differential diagnosis, confirming the diagnosis and suggesting the proper treatment during the early stage of liver cancer.

    电子计算机在医学上的应用已有二十年历史,国内也有所开展。目前电子计算机分为微型(Micro)、小型(mini)、中型(Midi)、大型(maxi)和超级机(Supercomputer)。近年微型机发展极快,其内存容量已超过二十年前最大的计算机,其速度快、体积小,价格便宜。国外很多医院部门、实验室,甚至诊所都已广泛应用。本文报告肝癌的电子计算机鉴别诊断及237例验证的结果。

    Fourteen factors affecting survival after resection of primary hepatic cancer(PHC)were selected,including AFP levels before and after resection,type of resection,encap-sulation of tumor,presence of tumor emboli,the size,site and number of tumor,age,coexisting cirrhosis,etc.The importance of each of the 14 parameters in relation topostoperative survival was calculated by using Bayes theory,based upon the clinical dataand follow-up results of 134 cases.The prediction of survival time was programmedinto an...

    Fourteen factors affecting survival after resection of primary hepatic cancer(PHC)were selected,including AFP levels before and after resection,type of resection,encap-sulation of tumor,presence of tumor emboli,the size,site and number of tumor,age,coexisting cirrhosis,etc.The importance of each of the 14 parameters in relation topostoperative survival was calculated by using Bayes theory,based upon the clinical dataand follow-up results of 134 cases.The prediction of survival time was programmedinto an APPLE (?) PLUS type microcomputer.52 cases of PHC resected during 1971-1976with complete clinical and follow-up data had been tested by the computer.Incomparison with the actual surviving time,the accuracy of computer prediction was84.6%(44/52).

    本文报告使用微型电子计算机辅助肝癌手术切除后生存期的预报。经52例回顾性验证,结果计算机的第一预报值与实际生存期(允许相差小于6个月)的符合率为84.6%。提示计算机预报基本准确。计算机预报可供术后综合治疗的参考,并可作为对木后新疗法疗效以及手术切除技术评价的一个参考指标。

    It is a preliminary trial to introduce the computing technique into X-ray diagnostic work on diffuse pulmonary disease. According to the Bayes theory and multiple discriminant analysis, the authors have calculated and made the indexes table for differential diagnosis of silicosis(50), miliary tuberculosis (43) and miliary metastatic cancer (50). The diagnostic accuracy is 95.8%, which was higher than the conventional X-ray diagnosis (73.2%). The authors also used it to check up other 162 caces collected...

    It is a preliminary trial to introduce the computing technique into X-ray diagnostic work on diffuse pulmonary disease. According to the Bayes theory and multiple discriminant analysis, the authors have calculated and made the indexes table for differential diagnosis of silicosis(50), miliary tuberculosis (43) and miliary metastatic cancer (50). The diagnostic accuracy is 95.8%, which was higher than the conventional X-ray diagnosis (73.2%). The authors also used it to check up other 162 caces collected later and found the diagnostic accuracy is 93.2%. Due to the simplicity of the calculations, it can be used by any medicical clinic or hospital.

    本文初步尝试把计量诊断技术用于肺部弥漫性病变的X线诊断。根据贝叶斯定理,多元逐步判别分析法,作者作出了矽肺(50)、粟粒型肺结核(43)与粟粒型转移癌(50)鉴别诊断指数表,诊断正确率达95.8%,明显高于常规X线诊断(73.2%)。组外考核162例,诊断正确率93.2%。因本法计算简单易行,可以为任何医疗单位所采用。

     
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