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Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025

Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques
☆☆☆☆☆
简体网页||繁体网页
Don Hong 作者
World Scientific Publishing Company
译者
2007-07-10 出版日期
353 页数
USD 148.00 价格
Hardcover
丛书系列
9789812704610 图书编码

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发表于2025-01-06

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Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2025

Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025


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Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques 在线电子书 图书描述

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, statistical computing, and graphics for dynamic molecules.

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