 Название: Signal Processing and Machine Learning for Biomedical Big Data
Автор: Ervin Sejdic, Tiago H. Falk
Издательство: CRC Press
ISBN: 1498773451
Год: 2018
Страниц: 624
Язык: английский
Формат: pdf (true)
Размер: 72.7 MB
Big data has been loosely defined as data that is too large or complex for traditional data processing techniques to be applied effectively. The challenges that arise with such massive data sets include capture, storage, analysis, search, and visualization, to name a few. Within the healthcare domain, the definition of biomedical big data has been expanded to encompass "high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points."
This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.
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Signal Processing and Machine Learning for Biomedical Big Data 
