Machine Learning in Medicine: Part Three
Author:   Ton J. Cleophas ,  Aeilko H. Zwinderman
Publisher:   Springer
Edition:   2013 ed.
ISBN:  

9789400778689


Pages:   224
Publication Date:   11 December 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $145.17 Quantity:  
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Machine Learning in Medicine: Part Three


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Full Product Details

Author:   Ton J. Cleophas ,  Aeilko H. Zwinderman
Publisher:   Springer
Imprint:   Springer
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 1.50cm , Length: 23.50cm
Weight:   4.912kg
ISBN:  

9789400778689


ISBN 10:   9400778686
Pages:   224
Publication Date:   11 December 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- Introduction to Machine Learning Part Three.- Evolutionary Operations.- Multiple Treatments.- Multiple Endpoints.- Optimal Binning.- Exact P-Values.- Probit Regression.- Over - dispersion.10 Random Effects.- Weighted Least Squares.- Multiple Response Sets.- Complex Samples.- Runs Tests.- Decision Trees.- Spectral Plots.- Newton's Methods.- Stochastic Processes, Stationary Markov Chains.- Stochastic Processes, Absorbing Markov Chains.- Conjoint Models.- Machine Learning and Unsolved Questions.- Index.

Reviews

From the reviews: This book is excellent. It is valuable source of a basic understanding of novel machine learning methods of clinical data analysis and can be used as a reference by students and teachers of epidemiology, statistics and biostatistics, computer and social scientists, and clinical investigators. (Vedang J. Bhavsar, Doody's Book Reviews, March, 2014)


From the reviews: This book is excellent. It is valuable source of a basic understanding of novel machine learning methods of clinical data analysis and can be used as a reference by students and teachers of epidemiology, statistics and biostatistics, computer and social scientists, and clinical investigators. (Vedang J. Bhavsar, Doody's Book Reviews, March, 2014)


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