Titlebook: Machine Learning in Medicine - Cookbook Three; Ton J. Cleophas,Aeilko H. Zwinderman Book 2014 The Author(s) 2014 Computer science.Data min

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SpringerBriefs in Statisticshttp://image.papertrans.cn/m/image/620694.jpg

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Variance Components for Assessing the Magnitude of Random Effects (40 Patients with Paroxysmal Tachyrs, then the spread in the data is caused not only by residual effect, but also by some subgroup property, otherwise called some random effect. Variance components analysis is able to assess the magnitudes of random effects as compared to that of the residual error of a study.

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Data Mining for Visualization of Health Processes (150 Patients with Pneumonia)Computer files of clinical data are often complex and multi-dimensional, and they are, frequently, hard to statistically test. Instead, visualization processes can be successfully used as an alternative approach to traditional statistical data analysis.

道學(xué)氣

Loglinear Models for Assessing Incident Rates with Varying Incident Risks (12 Populations with DiffeData files that assess the effect of various predictors on frequency counts of morbidities/mortalities can be classified into multiple cells with varying incident risks (like, e.g., the incident risk of infarction). The underneath table gives an example.

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Performance Evaluation of Novel Diagnostic Tests (650 and 588 Patients with Peripheral Vascular DiseBoth logistic regression and c-statistics can be used to evaluate the performance of novel diagnostic tests. This chapter is to assess whether one method can outperform the other.