Machine Learning in Medicine

By Aeilko H. Zwinderman and Ton J. Cleophas

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 9400793634
• ISBN13: 9789400793637
• Release Date: February 2015
• Publisher: Springer
• Length: 265 Pages
• Weight: 0.88 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"