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Handbook Of Data Science Approaches For Biomedical Engineering

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Handbook Of Data Science Approaches For Biomedical Engineering - ISBN: 9780128183182
Prijs: € 142,80 (onder voorbehoud)
Beschikbaarheid: Nog niet verschenen.
Bindwijze: Boek
Genre: Gezondheidswetenschappen
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Beschrijving

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.



  • Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things
  • Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things
  • Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more

Details

Titel: Handbook Of Data Science Approaches For Biomedical Engineering
Mediatype: Boek
Taal: Engels
Aantal pagina's: 318
Uitgever: Elsevier Science Publishing Co Inc
NUR: Gezondheidswetenschappen
Afmetingen: 235 x 191
ISBN/ISBN13: 9780128183182
Intern nummer: 44928226

Extra informatie

A comprehensive guide to the application of data science analytics for biomedical engineering, clinical and healthcare research and management

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