Quantitative Medical Data Analysis Using Mathematical Tools and Statistical TechniquesPublisher: World Scientific Publishing Company
Language: English
ISBN: 9812704612
Paperback: 364 pages
Data: Jul 2007
Format: PDF
Description: Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics, computer science, and biomedical science, leading to new fields such as bioinformatics, biomathematics, and biostatistics. In addition to traditional statistical techniques and mathematical models using differential equations, new developments with a very broad spectrum of applications, such as wavelets, spline functions, curve and surface subdivisions, sampling, and learning theory, have found their mathematical home in biomedical data analysis. This book gives a new and integrated introduction to quantitative medical data analysis from the viewpoint of biomathematicians, biostatisticians, and bioinformaticians. It offers a definitive resource to bridge the disciplines of mathematics, statistics, and biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic and proteomic data analysis, wavelet and spline applications for mass spectrometry data preprocessing and statistical computing.


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Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques (Hardcover)
by Don Hong, Yu Shyr
ISBN: 9812704612

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  • One Response to “Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques”

    1. Prasetyo Says:

      Thanks a lot.

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