↓ Skip to main content

Machine Learning in Medicine – A Complete Overview

Overview of attention for book
Cover of 'Machine Learning in Medicine – A Complete Overview'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Hierarchical Clustering and K-Means Clustering to Identify Subgroups in Surveys (50 Patients)
  3. Altmetric Badge
    Chapter 2 Density-Based Clustering to Identify Outlier Groups in Otherwise Homogeneous Data (50 Patients)
  4. Altmetric Badge
    Chapter 3 Two Step Clustering to Identify Subgroups and Predict Subgroup Memberships in Individual Future Patients (120 Patients)
  5. Altmetric Badge
    Chapter 4 Nearest Neighbors for Classifying New Medicines (2 New and 25 Old Opioids)
  6. Altmetric Badge
    Chapter 5 Predicting High-Risk-Bin Memberships (1445 Families)
  7. Altmetric Badge
    Chapter 6 Predicting Outlier Memberships (2000 Patients)
  8. Altmetric Badge
    Chapter 7 Data Mining for Visualization of Health Processes (150 Patients)
  9. Altmetric Badge
    Chapter 8 Trained Decision Trees for a More Meaningful Accuracy (150 Patients)
  10. Altmetric Badge
    Chapter 9 Typology of Medical Data (51 Patients)
  11. Altmetric Badge
    Chapter 10 Predictions from Nominal Clinical Data (450 Patients)
  12. Altmetric Badge
    Chapter 11 Predictions from Ordinal Clinical Data (450 Patients)
  13. Altmetric Badge
    Chapter 12 Assessing Relative Health Risks (3000 Subjects)
  14. Altmetric Badge
    Chapter 13 Measuring Agreement (30 Patients)
  15. Altmetric Badge
    Chapter 14 Column Proportions for Testing Differences between Outcome Scores (450 Patients)
  16. Altmetric Badge
    Chapter 15 Pivoting Trays and Tables for Improved Analysis of Multidimensional Data (450 Patients)
  17. Altmetric Badge
    Chapter 16 Online Analytical Procedure Cubes, a More Rapid Approach to Analyzing Frequencies (450 Patients)
  18. Altmetric Badge
    Chapter 17 Restructure Data Wizard for Data Classified the Wrong Way (20 Patients)
  19. Altmetric Badge
    Chapter 18 Control Charts for Quality Control of Medicines (164 Tablet Desintegration Times)
  20. Altmetric Badge
    Chapter 19 Linear, Logistic, and Cox Regression for Outcome Prediction with Unpaired Data (20, 55, and 60 Patients)
  21. Altmetric Badge
    Chapter 20 Generalized Linear Models for Outcome Prediction with Paired Data (100 Patients and 139 Physicians)
  22. Altmetric Badge
    Chapter 21 Generalized Linear Models Event-Rates (50 Patients)
  23. Altmetric Badge
    Chapter 22 Factor Analysis and Partial Least Squares (PLS) for Complex-Data Reduction (250 Patients)
  24. Altmetric Badge
    Chapter 23 Optimal Scaling of High-sensitivity Analysis of Health Predictors (250 Patients)
  25. Altmetric Badge
    Chapter 24 Discriminant Analysis for Making a Diagnosis from Multiple Outcomes (45 Patients)
  26. Altmetric Badge
    Chapter 25 Weighted Least Squares for Adjusting Efficacy Data with Inconsistent Spread (78 Patients)
  27. Altmetric Badge
    Chapter 26 Partial Correlations for Removing Interaction Effects from Efficacy Data (64 Patients)
  28. Altmetric Badge
    Chapter 27 Canonical Regression for Overall Statistics from Multivariate Data (250 Patients)
  29. Altmetric Badge
    Chapter 28 Multinomial Regression for Outcome Categories (55 Patients)
  30. Altmetric Badge
    Chapter 29 Various Methods for Analyzing Predictor Categories (60 and 30 Patients)
  31. Altmetric Badge
    Chapter 30 Random Intercept Models for Both Outcome and Predictor Categories (55 Patients)
  32. Altmetric Badge
    Chapter 31 Automatic Regression for Maximizing Linear Relationships (55 Patients)
  33. Altmetric Badge
    Chapter 32 Simulation Models for Varying Predictors (9000 Patients)
  34. Altmetric Badge
    Chapter 33 Generalized Linear Mixed Models for Outcome Prediction from Mixed Data (20 Patients)
  35. Altmetric Badge
    Chapter 34 Two-stage Least Squares (35 Patients)
  36. Altmetric Badge
    Chapter 35 Autoregressive Models for Longitudinal Data (120 Mean Monthly Population Records)
  37. Altmetric Badge
    Chapter 36 Variance Components for Assessing the Magnitude of Random Effects (40 Patients)
  38. Altmetric Badge
    Chapter 37 Ordinal Scaling for Clinical Scores with Inconsistent Intervals (900 Patients)
  39. Altmetric Badge
    Chapter 38 Loglinear Models for Assessing Incident Rates with Varying Incident Risks (12 Populations)
  40. Altmetric Badge
    Chapter 39 Logit Loglinear and Hierarchical Loglinear Modeling for Outcome Categories (445 Patients)
  41. Altmetric Badge
    Chapter 40 More on Polytomous Outcome Regressions (450 Patients)
  42. Altmetric Badge
    Chapter 41 Heterogeneity in Clinical Research: Mechanisms Responsible (20 Studies)
  43. Altmetric Badge
    Chapter 42 Performance Evaluation of Novel Diagnostic Tests (650 and 588 Patients)
  44. Altmetric Badge
    Chapter 43 Quantile-Quantile Plots, a Good Start for Looking at your Medical Data (50 Cholesterol Measurements and 58 Patients)
  45. Altmetric Badge
    Chapter 44 Rate Analysis of Medical Data Better than Risk Analysis (52 Patients)
  46. Altmetric Badge
    Chapter 45 Trend Tests Will Be Statistically Significant if Traditional Tests Are Not (30 and 106 Patients)
  47. Altmetric Badge
    Chapter 46 Doubly Multivariate Analysis of Variance for Multiple Observations from Multiple Outcome Variables (16 Patients)
  48. Altmetric Badge
    Chapter 47 Probit Models for Estimating Effective Pharmacological Treatment Dosages (14 Tests)
  49. Altmetric Badge
    Chapter 48 Interval Censored Data Analysis for Assessing Mean Time to Cancer Relapse (51 Patients)
  50. Altmetric Badge
    Chapter 49 Structural Equation Modeling (SEM) with SPSS Analysis of Moment Structures (Amos) Software for Cause Effect Relationships in Pharmacodynamic Studies I (35 Patients)
  51. Altmetric Badge
    Chapter 50 Structural Equation Modeling (SEM) with SPSS Analysis of Moment Structures (Amos) Software for Cause Effect Relationships in Pharmacodynamic Studies II (35 Patients)
  52. Altmetric Badge
    Chapter 51 Firth’s Bias-adjusted Estimates for Biased Logistic Data Models (23 Challenger Launchings)
  53. Altmetric Badge
    Chapter 52 Omics Research (125 Patients, 24 Predictor Variables)
  54. Altmetric Badge
    Chapter 53 Sparse Canonical Correlation Analysis
  55. Altmetric Badge
    Chapter 54 Eigenvalues, Eigenvectors and Eigenfunctions (45 and 250 Patients)
  56. Altmetric Badge
    Chapter 55 Neural Networks for Assessing Relationships that are Typically Nonlinear (90 Patients)
  57. Altmetric Badge
    Chapter 56 Complex Samples Methodologies for Unbiased Sampling (9678 Persons)
  58. Altmetric Badge
    Chapter 57 Correspondence Analysis for Identifying the Best of Multiple Treatments in Multiple Groups (217 Patients)
  59. Altmetric Badge
    Chapter 58 Decision Trees for Decision Analysis (1004 and 953 Patients)
  60. Altmetric Badge
    Chapter 59 Multidimensional Scaling for Visualizing Experienced Drug Efficacies (14 Pain-killers and 42 Patients)
  61. Altmetric Badge
    Chapter 60 Stochastic Processes for Long Term Predictions from Short Term Observations
  62. Altmetric Badge
    Chapter 61 Optimal Binning for Finding High Risk Cut-offs (1445 Families)
  63. Altmetric Badge
    Chapter 62 Conjoint Analysis for Determining the Most Appreciated Properties of Medicines to Be Developed (15 Physicians)
  64. Altmetric Badge
    Chapter 63 Item Response Modeling for Analyzing Quality of Life with Better Precision (1000 Patients)
  65. Altmetric Badge
    Chapter 64 Survival Studies with Varying Risks of Dying (50 and 60 Patients)
  66. Altmetric Badge
    Chapter 65 Fuzzy Logic for Improved Precision of Dose-Response Data (8 Induction Dosages)
  67. Altmetric Badge
    Chapter 66 Automatic Data Mining for the Best Treatment of a Disease (90 Patients)
  68. Altmetric Badge
    Chapter 67 Pareto Charts for Identifying the Main Factors of Multifactorial Outcomes (2000 Admissions to Hospital)
  69. Altmetric Badge
    Chapter 68 Radial Basis Neural Networks for Multidimensional Gaussian Data (90 Persons)
  70. Altmetric Badge
    Chapter 69 Automatic Modeling of Drug Efficacy Prediction (250 Patients)
  71. Altmetric Badge
    Chapter 70 Automatic Modeling for Clinical Event Prediction (200 Patients)
  72. Altmetric Badge
    Chapter 71 Automatic Newton Modeling in Clinical Pharmacology (15 Alfentanil Dosages, 15 Quinidine Time-Concentration Relationships)
  73. Altmetric Badge
    Chapter 72 Spectral Plots for High Sensitivity Assessent of Periodicity (6 Years’ Monthly C Reactive Protein Levels)
  74. Altmetric Badge
    Chapter 73 Runs Test for Identifying Best Regression Models (21 Estimates of Quantity and Quality of Patient Care)
  75. Altmetric Badge
    Chapter 74 Evolutionary Operations for Process Improvement (8 Operation Room Air Condition Settings)
  76. Altmetric Badge
    Chapter 75 Bayesian Networks for Cause Effect Modeling (600 Patients)
  77. Altmetric Badge
    Chapter 76 Support Vector Machines for Imperfect Nonlinear Data (200 Patients with Sepsis)
  78. Altmetric Badge
    Chapter 77 Multiple Response Sets for Visualizing Clinical Data Trends (811 Patient Visits)
  79. Altmetric Badge
    Chapter 78 Protein and DNA Sequence Mining
  80. Altmetric Badge
    Chapter 79 Iteration Methods for Crossvalidations (150 Patients with Pneumonia)
  81. Altmetric Badge
    Chapter 80 Improving Parallel-Groups with Different Sample Sizes and Variances (5 Parallel-Group Studies)
  82. Altmetric Badge
    Chapter 81 Association Rules Between Exposure and Outcome (50 and 60 Patients)
  83. Altmetric Badge
    Chapter 82 Confidence Intervals for Proportions and Differences in Proportions (100 and 75 Patients)
  84. Altmetric Badge
    Chapter 83 Ratio Statistics for Efficacy Analysis of New Drugs (50 Patients)
  85. Altmetric Badge
    Chapter 84 Fifth Order Polynomes of Circadian Rhythms (1 Patient with Hypertension)
  86. Altmetric Badge
    Chapter 85 Gamma Distribution for Estimating the Predictors of Medical Outcome Scores (110 Patients)
Attention for Chapter 78: Protein and DNA Sequence Mining
Altmetric Badge

Citations

dimensions_citation
10 Dimensions
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Protein and DNA Sequence Mining
Chapter number 78
Book title
Machine Learning in Medicine – A Complete Overview
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-33970-8_78
Book ISBNs
978-3-03-033969-2, 978-3-03-033970-8
Authors

Ton J. Cleophas, Aeilko H. Zwinderman, Cleophas, Ton J., Zwinderman, Aeilko H.