Machine Learning in Medicine
Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
2013, 2013
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| Edition: | 1st ed. 2013 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Preface
- 1 Introduction to machine learning
- 2 Logistic regression for health profiling
- 3 Optimal scaling: discretization
- 4 Optimal scaling: regularization including ridge, lasso, and elastic net regression
- 5 Partial correlations
- 6 Mixed linear modelling
- 7 Binary partitioning
- 8 Item response modelling
- 9 Time-dependent predictor modelling
- 10 Seasonality assessments
- 11 Non-linear modelling
- 12 Artificial intelligence, multilayer Perceptron modelling
- 13 Artificial intelligence, radial basis function modelling
- 14 Factor analysis
- 15 Hierarchical cluster analysis for unsupervised data
- 16 Partial least squares
- 17 Discriminant analysis for Supervised data
- 18 Canonical regression
- 19 Fuzzy modelling
- 20 Conclusions. Index.