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Machine Learning in Medicine

Overview of attention for book
Machine Learning in Medicine
Springer Netherlands

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Machine Learning
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    Chapter 2 Logistic Regression for Health Profiling
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    Chapter 3 Optimal Scaling: Discretization
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    Chapter 4 Optimal Scaling: Regularization Including Ridge, Lasso, and Elastic Net Regression
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    Chapter 5 Partial Correlations
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    Chapter 6 Mixed Linear Models
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    Chapter 7 Binary Partitioning
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    Chapter 8 Item Response Modeling
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    Chapter 9 Time-Dependent Predictor Modeling
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    Chapter 10 Seasonality Assessments
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    Chapter 11 Non-linear Modeling
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    Chapter 12 Artificial Intelligence, Multilayer Perceptron Modeling
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    Chapter 13 Artificial Intelligence, Radial Basis Functions
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    Chapter 14 Factor Analysis
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    Chapter 15 Hierarchical Cluster Analysis for Unsupervised Data
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    Chapter 16 Partial Least Squares
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    Chapter 17 Discriminant Analysis for Supervised Data
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    Chapter 18 Canonical Regression
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    Chapter 19 Fuzzy Modeling
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    Chapter 20 Conclusions
Attention for Chapter 10: Seasonality Assessments
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