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Machine Learning in Medicine
Cleophas, Ton J.; Zwinderman, Aeilko H.
€ 66.95
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Description for Machine Learning in Medicine
Paperback. This second of a two-volume work includes coverage of various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, genetic programming, association rule learning, anomaly detection and correspondence analysis. Num Pages: 245 pages, 80 black & white tables, biography. BIC Classification: CFC; MBGR; PBT; PSVT7; UYQV. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 13. Weight in Grams: 385.
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 non-mathematical readers. Each chapter can be ... Read more
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 non-mathematical readers. Each chapter can be ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer Netherlands
Number of pages
245
Condition
New
Number of Pages
231
Place of Publication
Dordrecht, Netherlands
ISBN
9789400795129
SKU
V9789400795129
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Machine Learning in Medicine
From the reviews: “This is the second volume of a novel publication on machine learning in medicine that details statistical analysis of complex data with many variables. … The intended audience includes physicians, clinical researchers, physicians in training, statisticians, and medical students as well as master’s and doctoral students in biostatistics and epidemiology. … The simple language and well-organized ... Read more