Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Trends in Mathematics (TM, volume 7)
Part of the book sub series: Research Perspectives CRM Barcelona (RPCRMB)
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Table of contents (22 papers)
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Biomedical Big Data
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Statistics for Low Dose Radiation Research
Keywords
About this book
This two-part volume gathers extended conference abstracts corresponding to selected talks from the "Biostatnet workshop on Biomedical (Big) Data" and from the "DoReMi LD-RadStats: Workshop for statisticians interested in contributing to EU low dose radiation research", which were held at the Centre de Recerca Matemàtica (CRM) in Barcelona from November 26th to 27th, 2015, and at the Institut de Salut Global ISGlobal (former CREAL) from October 26th to 28th, 2015, respectively. Most of the contributions are brief articles, presenting preliminary new results not yet published in regular research journals.
The first part is devoted to the challenges of analyzing so called "Biomedical Big Data", tremendous amounts of biomedical and health data that are generated every day due to the use of recent technological advances such as massive genomic sequencing, electronic health records or high-resolution medical imaging, among others. The analysis of this information poses significantchallenges for researchers in the fields of biostatistics, bioinformatics, and signal processing. Furthermore, other relevant challenges in biostatistical research, not necessarily involving big data, are also discussed.
In turn, the second part is dedicated to low dose radiation research, where there is a need to fully understand and characterize potential sources of uncertainty before they can be reduced. Further, the book demonstrates why formal uncertainty analysis has the potential to provide a common platform for multidisciplinary research in this field.
This book is intended for established researchers, as well as for PhD and postdoctoral students who want to learn more about the latest advances in these highly active areas of research.
Editors and Affiliations
Bibliographic Information
Book Title: Extended Abstracts Fall 2015
Book Subtitle: Biomedical Big Data; Statistics for Low Dose Radiation Research
Editors: Elizabeth A. Ainsbury, M.Luz Calle, Elisabeth Cardis, Jochen Einbeck, Guadalupe Gómez, Pere Puig
Series Title: Trends in Mathematics
DOI: https://doi.org/10.1007/978-3-319-55639-0
Publisher: Birkhäuser Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-55638-3Published: 09 May 2017
eBook ISBN: 978-3-319-55639-0Published: 05 May 2017
Series ISSN: 2297-0215
Series E-ISSN: 2297-024X
Edition Number: 1
Number of Pages: VII, 131
Number of Illustrations: 7 b/w illustrations, 17 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Mathematical and Computational Biology, Biostatistics