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"item_title" : "Machine Learning in Medicine",
"item_author" : [" Ton J. Cleophas", "Aeilko H. Zwinderman "],
"item_description" : "Preface 1 Introduction to Machine Learning Part Three 2 Evolutionary Operations 3 Multiple Treatments 4 Multiple Endpoints 5 Optimal Binning 6 Exact P-Values 7 Probit Regression 8 Over-dispersion 9 Random Effects 10 Weighted Least Squares 11 Multiple Response Sets 12 Complex Samples 13 Runs Tests 14 Decision Trees 15 Spectral Plots 16 Newton's Methods 17 Stochastic Processes, Stationary Markov Chains 18 Stochastic Processes, Absorbing Markov Chains 19 Conjoint Models 20 Machine Learning and Unsolved Questions Index ",
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Machine Learning in Medicine : Part Three
Overview
Preface 1 Introduction to Machine Learning Part Three 2 Evolutionary Operations 3 Multiple Treatments 4 Multiple Endpoints 5 Optimal Binning 6 Exact P-Values 7 Probit Regression 8 Over-dispersion 9 Random Effects 10 Weighted Least Squares 11 Multiple Response Sets 12 Complex Samples 13 Runs Tests 14 Decision Trees 15 Spectral Plots 16 Newton's Methods 17 Stochastic Processes, Stationary Markov Chains 18 Stochastic Processes, Absorbing Markov Chains 19 Conjoint Models 20 Machine Learning and Unsolved Questions Index
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Details
- ISBN-13: 9789402402605
- ISBN-10: 9402402608
- Publisher: Springer
- Publish Date: April 2017
- Dimensions: 9.21 x 6.14 x 0.52 inches
- Shipping Weight: 0.77 pounds
- Page Count: 224
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