Machine Learning in Medicine - Cookbook Three

Authors:

ISBN: 978-3-319-12162-8 (Print) 978-3-319-12163-5 (Online)

Table of contents (20 chapters)

  1. Front Matter

    Pages i-xiii

  2. Cluster Models

    1. Front Matter

      Pages 1-1

    2. No Access

      Chapter

      Pages 3-14

      Data Mining for Visualization of Health Processes (150 Patients with Pneumonia)

    3. No Access

      Chapter

      Pages 15-20

      Training Decision Trees for a More Meaningful Accuracy (150 Patients with Pneumonia)

  3. Linear Models

    1. Front Matter

      Pages 21-21

    2. No Access

      Chapter

      Pages 23-27

      Variance Components for Assessing the Magnitude of Random Effects (40 Patients with Paroxysmal Tachycardias)

    3. No Access

      Chapter

      Pages 29-33

      Ordinal Scaling for Clinical Scores with Inconsistent Intervals (900 Patients with Different Levels of Health)

    4. No Access

      Chapter

      Pages 35-38

      Loglinear Models for Assessing Incident Rates with Varying Incident Risks (12 Populations with Different Drink Consumption Patterns)

    5. No Access

      Chapter

      Pages 39-44

      Loglinear Modeling for Outcome Categories (Quality of Life Scores in 445 Patients with Different Personal Characteristics)

    6. No Access

      Chapter

      Pages 45-48

      Heterogeneity in Clinical Research: Mechanisms Responsible

    7. No Access

      Chapter

      Pages 49-55

      Performance Evaluation of Novel Diagnostic Tests (650 and 588 Patients with Peripheral Vascular Disease)

  4. Rules Models

    1. Front Matter

      Pages 57-57

    2. No Access

      Chapter

      Pages 59-64

      Spectral Plots for High Sensitivity Assessment of Periodicity (6 Years’ Monthly C Reactive Protein Levels)

    3. No Access

      Chapter

      Pages 65-69

      Runs Test for Identifying Best Regression Models (21 Estimates of Quantity and Quality of Patient Care)

    4. No Access

      Chapter

      Pages 71-74

      Evolutionary Operations for Process Improvement (8 Operation Room Air Condition Settings)

    5. No Access

      Chapter

      Pages 75-80

      Bayesian Networks for Cause Effect Modeling (600 Patients Assessed for Longevity Factors)

    6. No Access

      Chapter

      Pages 81-85

      Support Vector Machines for Imperfect Nonlinear Data (200 Patients with Sepsis)

    7. No Access

      Chapter

      Pages 87-93

      Multiple Response Sets for Visualizing Clinical Data Trends (811 Patient Visits to General Practitioners)

    8. No Access

      Chapter

      Pages 95-100

      Protein and DNA Sequence Mining

    9. No Access

      Chapter

      Pages 101-105

      Iteration Methods for Crossvalidations (150 Patients with Pneumonia)

    10. No Access

      Chapter

      Pages 107-109

      Testing Parallel-Groups with Different Sample Sizes and Variances (5 Parallel-Group Studies)

    11. No Access

      Chapter

      Pages 111-115

      Association Rules Between Exposure and Outcome (50 and 60 Patients with Coronary Risk Factors)

    12. No Access

      Chapter

      Pages 117-120

      Confidence Intervals for Proportions and Differences in Proportions

    13. No Access

      Chapter

      Pages 121-125

      Ratio Statistics for Efficacy Analysis of New Drugs (50 Patients Treated for Hypercholesterolemia)

  5. Back Matter

    Pages 127-131