Machine Learning in Medicine /

Detalles Bibliográficos
Autores principales:	Cleophas, Ton J. (Autor), Zwinderman, Aeilko H. (Autor)
Autor Corporativo:	SpringerLink (Online service)
Formato:	eBook
Lenguaje:	English
Publicado:	Dordrecht : Springer Netherlands : Imprint: Springer, 2013.
Edición:	1st ed. 2013.
Materias:	Medicine. Entomology. Statistics . Optical data processing. Literacy. Biomedicine, general. Medicine/Public Health, general. Statistics, general. Computer Imaging, Vision, Pattern Recognition and Graphics.

Tabla de Contenidos:

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. .

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