The Resource Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers
Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers
Resource Information
The item Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 Machine learning is concerned with the analysis of large data and multiple variables. However, it is also often more sensitive than traditional statistical methods to analyze small data. The first volume reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, and fuzzy modeling. This second volume includes various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, genetic programming, association rule learning, anomaly detection, correspondence analysis, and other subjects. Both the theoretical bases and the step by step analyses are described for the benefit of nonmathematical readers. Each chapter can be studied without the need to consult other chapters. Traditional statistical tests are, sometimes, priors to machine learning methods, and they are also, sometimes, used as contrast tests. To those wishing to obtain more knowledge of them, we recommend to additionally study (1) Statistics Applied to Clinical Studies 5th Edition 2012, (2) SPSS for Starters Part One and Two 2012, and (3) Statistical Analysis of Clinical Data on a Pocket Calculator Part One and Two 2012, written by the same authors, and edited by Springer, New York
 Language
 eng
 Extent
 1 online resource
 Contents

 Multidimensional Clustering
 Anomaly Detection
 Association Rule Analysis
 Multidimensional Scaling
 Correspondence Analysis
 Multivariate Analysis of Time Series
 Support Vector Machines
 Bayesian Networks
 Protein and DNA Sequence Mining
 Continuous Sequential Techniques
 Introduction to Machine Learning Part Two
 Discrete Wavelet Analysis
 Machine Learning and Common Sense
 TwoStage Least Squares
 Multiple Imputations
 Bhattacharya Analysis
 QualityofLife (QOL) Assessments with Odds Ratios
 Logistic Regression for Assessing Novel Diagnostic Tests Against Control
 Validating Surrogate Endpoints
 TwoDimensional Clustering
 Isbn
 9789400768871
 Label
 Machine learning in medicine, Part two
 Title
 Machine learning in medicine
 Title number
 Part two
 Statement of responsibility
 by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers
 Language
 eng
 Summary
 Machine learning is concerned with the analysis of large data and multiple variables. However, it is also often more sensitive than traditional statistical methods to analyze small data. The first volume reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, and fuzzy modeling. This second volume includes various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, genetic programming, association rule learning, anomaly detection, correspondence analysis, and other subjects. Both the theoretical bases and the step by step analyses are described for the benefit of nonmathematical readers. Each chapter can be studied without the need to consult other chapters. Traditional statistical tests are, sometimes, priors to machine learning methods, and they are also, sometimes, used as contrast tests. To those wishing to obtain more knowledge of them, we recommend to additionally study (1) Statistics Applied to Clinical Studies 5th Edition 2012, (2) SPSS for Starters Part One and Two 2012, and (3) Statistical Analysis of Clinical Data on a Pocket Calculator Part One and Two 2012, written by the same authors, and edited by Springer, New York
 Cataloging source
 GW5XE
 http://library.link/vocab/creatorName
 Cleophas, Ton J. M
 Dewey number
 610.285/631
 Index
 index present
 Language note
 English
 LC call number
 R858
 LC item number
 .C54 2013
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 NLM call number
 W 26.5
 http://library.link/vocab/relatedWorkOrContributorName
 Zwinderman, Aeilko H
 http://library.link/vocab/subjectName

 Medicine
 Machine learning
 Medicine
 Electronic Data Processing
 Artificial Intelligence
 Machine learning
 Medicine
 Label
 Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Multidimensional Clustering
 Anomaly Detection
 Association Rule Analysis
 Multidimensional Scaling
 Correspondence Analysis
 Multivariate Analysis of Time Series
 Support Vector Machines
 Bayesian Networks
 Protein and DNA Sequence Mining
 Continuous Sequential Techniques
 Introduction to Machine Learning Part Two
 Discrete Wavelet Analysis
 Machine Learning and Common Sense
 TwoStage Least Squares
 Multiple Imputations
 Bhattacharya Analysis
 QualityofLife (QOL) Assessments with Odds Ratios
 Logistic Regression for Assessing Novel Diagnostic Tests Against Control
 Validating Surrogate Endpoints
 TwoDimensional Clustering
 Control code
 847514802
 Dimensions
 unknown
 Extent
 1 online resource
 File format
 unknown
 Form of item
 online
 Isbn
 9789400768871
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9789400768864
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)847514802
 Label
 Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents

 Multidimensional Clustering
 Anomaly Detection
 Association Rule Analysis
 Multidimensional Scaling
 Correspondence Analysis
 Multivariate Analysis of Time Series
 Support Vector Machines
 Bayesian Networks
 Protein and DNA Sequence Mining
 Continuous Sequential Techniques
 Introduction to Machine Learning Part Two
 Discrete Wavelet Analysis
 Machine Learning and Common Sense
 TwoStage Least Squares
 Multiple Imputations
 Bhattacharya Analysis
 QualityofLife (QOL) Assessments with Odds Ratios
 Logistic Regression for Assessing Novel Diagnostic Tests Against Control
 Validating Surrogate Endpoints
 TwoDimensional Clustering
 Control code
 847514802
 Dimensions
 unknown
 Extent
 1 online resource
 File format
 unknown
 Form of item
 online
 Isbn
 9789400768871
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number
 10.1007/9789400768864
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)847514802
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/MachinelearninginmedicineParttwobyTonJ./uazBMCrZURI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/MachinelearninginmedicineParttwobyTonJ./uazBMCrZURI/">Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Item Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/MachinelearninginmedicineParttwobyTonJ./uazBMCrZURI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/MachinelearninginmedicineParttwobyTonJ./uazBMCrZURI/">Machine learning in medicine, Part two, by Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Henny I. CleophasAllers</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>