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

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RACE

Density-Based Clustering to Identify Outlier Groups in Otherwise Homogeneous Data (50 Patients)Clusters are subgroups in a survey estimated by the distances between the values needed to connect the patients, otherwise called cases. It is an important methodology in explorative data mining. Density-based clustering is used.

饑荒

gorgeous

Linear, Logistic, and Cox Regression for Outcome Prediction with Unpaired Data (20, 55, and 60 PatieTo assess whether linear, logistic and Cox modeling can be used to train clinical data samples to make predictions about groups and individual patients.

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財主

小卷發(fā)

adjacent

Optimal Scaling of High-Sensitivity Analysis of Health Predictors (250 Patients)In linear models of health predictors (x-values) and health outcomes (y-values), better power of testing can sometimes be obtained, if continuous predictor variables are converted into the best fit discretized ones.

gratify

Discriminant Analysis for Making a Diagnosis from Multiple Outcomes (45 Patients)To assess whether discriminant analysis can be used to make a diagnosis from multiple outcomes both in groups and in individual patients.

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