Machine Learning in Medicine

• Κύριοι συγγραφείς: Cleophas, Ton J. (Συγγραφέας), Zwinderman, Aeilko H. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2013.
• Θέματα: Medicine.; Computer graphics.; Entomology.; Literacy.; Statistics.; Biomedicine.; Biomedicine general.; Medicine/Public Health, general.; Statistics, general.; Computer Imaging, Vision, Pattern Recognition and Graphics.

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...

Πίνακας περιεχομένων:

• 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.                                                                                                                                                                                                                                                                                                                                                .