Book Volume 49 2014

Machine Learning in Medicine - Cookbook Two

Authors:

ISBN: 978-3-319-07412-2 (Print) 978-3-319-07413-9 (Online)

Table of contents (20 chapters)

  1. Front Matter

    Pages i-xi

  2. Cluster Models

    1. Front Matter

      Pages 1-1

    2. No Access

      Chapter

      Pages 3-10

      Nearest Neighbors for Classifying New Medicines (2 New and 25 Old Opioids)

    3. No Access

      Chapter

      Pages 11-15

      Predicting High-Risk-Bin Memberships (1,445 Families)

    4. No Access

      Chapter

      Pages 17-20

      Predicting Outlier Memberships (2,000 Patients)

  3. Linear Models

    1. Front Matter

      Pages 21-21

    2. No Access

      Chapter

      Pages 23-26

      Polynomial Regression for Outcome Categories (55 Patients)

    3. No Access

      Chapter

      Pages 27-35

      Automatic Nonparametric Tests for Predictor Categories (60 and 30 Patients)

    4. No Access

      Chapter

      Pages 37-41

      Random Intercept Models for Both Outcome and Predictor Categories (55 Patients)

    5. No Access

      Chapter

      Pages 43-49

      Automatic Regression for Maximizing Linear Relationships (55 patients)

    6. No Access

      Chapter

      Pages 51-55

      Simulation Models for Varying Predictors (9,000 Patients)

    7. No Access

      Chapter

      Pages 57-60

      Generalized Linear Mixed Models for Outcome Prediction from Mixed Data (20 Patients)

    8. No Access

      Chapter

      Pages 61-64

      Two-stage Least Squares (35 Patients)

    9. No Access

      Chapter

      Pages 65-71

      Autoregressive Models for Longitudinal Data (120 Mean Monthly Records of a Population of Diabetic Patients)

  4. Rules Models

    1. Front Matter

      Pages 73-73

    2. No Access

      Chapter

      Pages 75-79

      Item Response Modeling for Analyzing Quality of Life with Better Precision (1,000 Patients)

    3. No Access

      Chapter

      Pages 81-85

      Survival Studies with Varying Risks of Dying (50 and 60 Patients)

    4. No Access

      Chapter

      Pages 87-91

      Fuzzy Logic for Improved Precision of Dose-Response Data

    5. No Access

      Chapter

      Pages 93-100

      Automatic Data Mining for the Best Treatment of a Disease (90 Patients)

    6. No Access

      Chapter

      Pages 101-105

      Pareto Charts for Identifying the Main Factors of Multifactorial Outcomes

    7. No Access

      Chapter

      Pages 107-110

      Radial Basis Neural Networks for Multidimensional Gaussian Data (90 Persons)

    8. No Access

      Chapter

      Pages 111-118

      Automatic Modeling of Drug Efficacy Prediction (250 Patients)

    9. No Access

      Chapter

      Pages 119-127

      Automatic Modeling for Clinical Event Prediction (200 Patients)

    10. No Access

      Chapter

      Pages 129-134

      Automatic Newton Modeling in Clinical Pharmacology (15 Alfentanil Dosages, 15 Quinidine Time-Concentration Relationships)

  5. Back Matter

    Pages 135-140