Machine Learning in Medicine

Part Three

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Mathematics, Statistics, Health & Well Being, Medical
Cover of the book Machine Learning in Medicine by Ton J. Cleophas, Aeilko H. Zwinderman, Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Ton J. Cleophas, Aeilko H. Zwinderman ISBN: 9789400778696
Publisher: Springer Netherlands Publication: November 26, 2013
Imprint: Springer Language: English
Author: Ton J. Cleophas, Aeilko H. Zwinderman
ISBN: 9789400778696
Publisher: Springer Netherlands
Publication: November 26, 2013
Imprint: Springer
Language: English

Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling, various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, association rule learning, anomaly detection, and correspondence analysis. This third volume addresses more advanced methods and includes subjects like evolutionary programming, stochastic methods, complex sampling, optional binning, Newton's methods, decision trees, and other subjects. Both the theoretical bases and the step by step analyses are described for the benefit of non-mathematical 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling, various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, association rule learning, anomaly detection, and correspondence analysis. This third volume addresses more advanced methods and includes subjects like evolutionary programming, stochastic methods, complex sampling, optional binning, Newton's methods, decision trees, and other subjects. Both the theoretical bases and the step by step analyses are described for the benefit of non-mathematical 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.

More books from Springer Netherlands

Cover of the book Consular Authority Over Seamen from the United States Point of View by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book The Beginning of Human Life by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book International Handbook of Educational Evaluation by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Developing Geographical Indications in the South by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Towards a Rational Philosophical Anthropology by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book The DSM-5 in Perspective by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Landslides in Sensitive Clays by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Identity and Ethnic Relations in Southeast Asia by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Statistics for Biologists by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book A Dictionary of Named Effects and Laws in Chemistry, Physics and Mathematics by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Lutheran Reformers Against Anabaptists by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Mechanism Design for Sustainability by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Scientific Research Effectiveness by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Connectionist Natural Language Processing by Ton J. Cleophas, Aeilko H. Zwinderman
Cover of the book Law, Order and Freedom by Ton J. Cleophas, Aeilko H. Zwinderman
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy