Quantitative medical data analysis using mathematical tools and statistical techniques:
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
Singapore
World Scientific
c2007
|
| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext |
| Item Description: | Includes bibliographical references and index Statistical methodology and stochastic modeling -- Proteomics and genomics -- Survival modeling and analysis -- Mathematical models for diseases -- Computing and visualization 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. The 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 |
| Physical Description: | 1 Online-Ressource (ix, 353 p.) |
| ISBN: | 1281911933 9781281911933 9789812772121 981277212X |
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| 500 | |a 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. The 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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| id | DE-604.BV043138772 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:18:38Z |
| institution | BVB |
| isbn | 1281911933 9781281911933 9789812772121 981277212X |
| language | English |
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| physical | 1 Online-Ressource (ix, 353 p.) |
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| publishDate | 2007 |
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| publisher | World Scientific |
| record_format | marc |
| spelling | Quantitative medical data analysis using mathematical tools and statistical techniques editors, Don Hong, Yu Shyr Singapore World Scientific c2007 1 Online-Ressource (ix, 353 p.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Statistical methodology and stochastic modeling -- Proteomics and genomics -- Survival modeling and analysis -- Mathematical models for diseases -- Computing and visualization 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. The 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 Medical Informatics Statistics as Topic MEDICAL / Forensic Medicine bisacsh MEDICAL / Preventive Medicine bisacsh MEDICAL / Public Health bisacsh Medical informatics fast Medicine / Research / Statistical methods fast Medizin Medical informatics Medicine Research Statistical methods Hong, Don Sonstige oth Shyr, Yu Sonstige oth World Scientific (Firm) Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=518596 Aggregator Volltext |
| spellingShingle | Quantitative medical data analysis using mathematical tools and statistical techniques Medical Informatics Statistics as Topic MEDICAL / Forensic Medicine bisacsh MEDICAL / Preventive Medicine bisacsh MEDICAL / Public Health bisacsh Medical informatics fast Medicine / Research / Statistical methods fast Medizin Medical informatics Medicine Research Statistical methods |
| title | Quantitative medical data analysis using mathematical tools and statistical techniques |
| title_auth | Quantitative medical data analysis using mathematical tools and statistical techniques |
| title_exact_search | Quantitative medical data analysis using mathematical tools and statistical techniques |
| title_full | Quantitative medical data analysis using mathematical tools and statistical techniques editors, Don Hong, Yu Shyr |
| title_fullStr | Quantitative medical data analysis using mathematical tools and statistical techniques editors, Don Hong, Yu Shyr |
| title_full_unstemmed | Quantitative medical data analysis using mathematical tools and statistical techniques editors, Don Hong, Yu Shyr |
| title_short | Quantitative medical data analysis using mathematical tools and statistical techniques |
| title_sort | quantitative medical data analysis using mathematical tools and statistical techniques |
| topic | Medical Informatics Statistics as Topic MEDICAL / Forensic Medicine bisacsh MEDICAL / Preventive Medicine bisacsh MEDICAL / Public Health bisacsh Medical informatics fast Medicine / Research / Statistical methods fast Medizin Medical informatics Medicine Research Statistical methods |
| topic_facet | Medical Informatics Statistics as Topic MEDICAL / Forensic Medicine MEDICAL / Preventive Medicine MEDICAL / Public Health Medical informatics Medicine / Research / Statistical methods Medizin Medicine Research Statistical methods |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=518596 |
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