HANDBOOK OF DATA SCIENCE APPROACHES FOR BIOMEDICAL ENGINEERING

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Bibliographic Details
Imprint:[S.l.] : ELSEVIER ACADEMIC PRESS, 2019.
Description:1 online resource
Language:English
Subject:Biomedical engineering.
Big data.
Internet of things.
Big data.
Biomedical engineering.
Internet of things.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12039659
Hidden Bibliographic Details
ISBN:9780128183199
0128183195
9780128183182
0128183187
Summary:Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc.
Other form:Print version: 9780128183199
Print version: 0128183187 9780128183182
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