E-book
Machine Learning in Medicine [electronic resource] / by Ton J. Cleophas, Aeilko H. Zwinderman.
Record details
- ISBN: 9789400758247
- Physical Description: XV, 265 p. 44 illus. online resource.
- Publisher: Dordrecht : Springer Netherlands : 2013.
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Other Formats and Editions
Electronic resources
| 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. . |
