From the reviews:
“This book is excellent. It is valuable source of a basic understanding of novel machine learning methods of clinical data analysis and can be used as a reference by students and teachers of epidemiology, statistics and biostatistics, computer and social scientists, and clinical investigators.” (Vedang J. Bhavsar, Doody’s Book Reviews, March, 2014)
"Sobre este título" puede pertenecer a otra edición de este libro.
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Descripción Hardcover. Condición: new. Nº de ref. del artículo: 9789400778689
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Descripción Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 244 pp. Englisch. Nº de ref. del artículo: 9789400778689
Descripción Condición: New. Nº de ref. del artículo: 20391055-n
Descripción Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9789400778689
Descripción Condición: 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 methodsClinicians and other health professionals are not f. Nº de ref. del artículo: 5828122
Descripción Condición: New. Machine Learning in Medicine Num Pages: 224 pages, 41 black & white illustrations, 78 black & white tables, biography. BIC Classification: MBGR; PBT; UYQV. Category: (P) Professional & Vocational. Dimension: 239 x 159 x 18. Weight in Grams: 506. . 2013. 2013th Edition. Hardcover. . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9789400778689
Descripción Condición: New. Machine Learning in Medicine Num Pages: 224 pages, 41 black & white illustrations, 78 black & white tables, biography. BIC Classification: MBGR; PBT; UYQV. Category: (P) Professional & Vocational. Dimension: 239 x 159 x 18. Weight in Grams: 506. . 2013. 2013th Edition. Hardcover. . . . . Nº de ref. del artículo: V9789400778689