Articles liés à Machine Learning in Medicine
Synopsis
This handy guide will help clinicians with computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It includes step by step data analyses in SPSS.
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Machine Learning in Medicine
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Springer Netherlands, 2013
ISBN 10 : 9400758235
ISBN 13 : 9789400758230
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 23053017/12
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Machine Learning in Medicine
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Springer, 2013
ISBN 10 : 9400758235
ISBN 13 : 9789400758230
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Machine Learning in Medicine
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Springer Netherlands, 2013
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ISBN 13 : 9789400758230
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Electronic health records of modern health facilities, are increasingly complex and systematic assessment of these records is virtually impossible without special computationally intensive methods Clinicians and other health professionals are not . N° de réf. du vendeur 5827500
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Machine Learning in Medicine
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Machine Learning in Medicine
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Springer Netherlands Feb 2013, 2013
ISBN 10 : 9400758235
ISBN 13 : 9789400758230
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods. 284 pp. Englisch. N° de réf. du vendeur 9789400758230
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Machine Learning in Medicine
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Springer Netherlands, Springer Netherlands Feb 2013, 2013
ISBN 10 : 9400758235
ISBN 13 : 9789400758230
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Buch. Etat : Neu. Neuware -Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch. N° de réf. du vendeur 9789400758230
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Machine Learning in Medicine
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Springer Netherlands, Springer Netherlands, 2013
ISBN 10 : 9400758235
ISBN 13 : 9789400758230
Neuf
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods. N° de réf. du vendeur 9789400758230
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Machine Learning in Medicine
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Machine Learning in Medicine
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Machine Learning in Medicine
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