Machine Learning in Medicine - Cookbook

Part I. Cluster Models

1. Hierarchical Clustering and K-means Clustering to Identify Subgroups in Surveys (50 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

2. Density-Based Clustering to Identify Outlier Groups in Otherwise Homogeneous Data (50 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

3. Two Step Clustering to Identify Subgroups and Predict Subgroup Memberships in Individual Future Patients (120 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

Part II. Linear Models

4. Linear, Logistic, and Cox Regression for Outcome Prediction with Unpaired Data (20, 55, and 60 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

5. Generalized Linear Models for Outcome Prediction with Paired Data (100 Patients and 139 Physicians)
Ton J. Cleophas, Aeilko H. Zwinderman

6. Generalized Linear Models for Predicting Event-Rates (50 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

7. Factor Analysis and Partial Least Squares for Complex-Data Reduction (250 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

8. Optimal Scaling of High-Sensitivity Analysis of Health Predictors (250 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

9. Discriminant Analysis for Making a Diagnosis from Multiple Outcomes (45 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

10. Weighted Least Squares for Adjusting Efficacy Data with Inconsistent Spread (78 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

11. Partial Correlations for Removing Interaction Effects from Efficacy Data (64 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

12. Canonical Regression for Overall Statistics of Multivariate Data (250 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

Part III. Rules Models

13. Neural Networks for Assessing Relationships that are Typically Nonlinear (90 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

14. Complex Samples Methodologies for Unbiased Sampling (9,678 Persons)
Ton J. Cleophas, Aeilko H. Zwinderman

15. Correspondence Analysis for Identifying the Best of Multiple Treatments in Multiple Groups (217 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

16. Decision Trees for Decision Analysis (1,004 and 953 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

17. Multidimensional Scaling for Visualizing Experienced Drug Efficacies (14 Pain-Killers and 42 Patients)
Ton J. Cleophas, Aeilko H. Zwinderman

18. Stochastic Processes for Long Term Predictions from Short Term Observations
Ton J. Cleophas, Aeilko H. Zwinderman

19. Optimal Binning for Finding High Risk Cut-offs (1445 Families)
Ton J. Cleophas, Aeilko H. Zwinderman

20. Conjoint Analysis for Determining the Most Appreciated Properties of Medicines to be Developed (15Physicians)
Ton J. Cleophas, Aeilko H. Zwinderman

Keywords: Medicine & Public Health, Medicine/Public Health, general, Biostatistics, Statistics for Life Sciences, Medicine, Health Sciences, Computer Applications, Biometrics