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- Publisher: Institution of Engineering & Technology
- ISBN-10: 1839535180
- ISBN-13: 9781839535185
- Format: 15.8 x 23.9 x 2.8 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Smart Health Technologies for the Covid-19 Pandemic (e-book) (used book) | bookbook.eu
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Description
Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives looks at the role technology has played to monitor, map and fight the global COVID-19 pandemic. Chapters outline risk assessment methodologies and social distancing and infection control technologies in the face of this disease outbreak.
The applications of Big Data and artificial intelligence in the fight against the spread of COVID-19 are explored in this edited book, as well as advances in early diagnostic testing and remote monitoring systems, and blockchain-based solutions for secure data handling. The implementation of machine learning for reviewing and analysing biomedical data and assisting with drug design is also discussed.
Emphasising the vital role that intelligent advanced healthcare informatics has played during this crucial time, this book is a valuable resource for researchers in the fields of biomedical engineering, bioengineering, electronics engineering, health informatics, wireless body area networks (WBAN), data analytics, telemedicine, and those in related fields.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Institution of Engineering & Technology
- ISBN-10: 1839535180
- ISBN-13: 9781839535185
- Format: 15.8 x 23.9 x 2.8 cm, hardcover
- Language: English English
Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives looks at the role technology has played to monitor, map and fight the global COVID-19 pandemic. Chapters outline risk assessment methodologies and social distancing and infection control technologies in the face of this disease outbreak.
The applications of Big Data and artificial intelligence in the fight against the spread of COVID-19 are explored in this edited book, as well as advances in early diagnostic testing and remote monitoring systems, and blockchain-based solutions for secure data handling. The implementation of machine learning for reviewing and analysing biomedical data and assisting with drug design is also discussed.
Emphasising the vital role that intelligent advanced healthcare informatics has played during this crucial time, this book is a valuable resource for researchers in the fields of biomedical engineering, bioengineering, electronics engineering, health informatics, wireless body area networks (WBAN), data analytics, telemedicine, and those in related fields.
Reviews