HEALTH INFORMATICS AND TECHNOLOGICAL SOLUTIONS FOR CORONAVIRUS [electronic resource].
Contributor(s): Tripathi, Suman Lata [editor.]
| Dhir, Kanav [editor.] | Ghai, Deepika [editor.] | Patil, Shashikant [editor.].
Material type: 
BookPublisher: [S.l.] : CRC PRESS, 2021Description: 1 online resource.ISBN: 9781000369724; 1000369722; 9781003161066; 1003161065; 9781000369731; 1000369730.Subject(s): TECHNOLOGY / Electronics / General | TECHNOLOGY / Electronics / Circuits / General | TECHNOLOGY / Electronics / Microelectronics | Medical informatics | Biomedical engineering | COVID-19 (Disease) -- Data processing | COVID-19 (Disease) -- Statistical methods | COVID-19 (Disease) -- Prevention -- Technological innovationsDDC classification: 610.285 Online resources: Taylor & Francis | OCLC metadata license agreement Summary: This reference text presents statistical information, causes and impacts of coronavirus on populations, economics, and environment. The text includes machine learning and deep learning techniques to understand exponential behavior as well as predicting the future reachability of the COVID-19 outbreak. It discusses important concepts including smart sensors for early stage diagnosis, diagnosis of COVID-19 using low power IoT-enabled systems, biomedical imaging and sensor fusion, and electronic solutions for diagnosis, monitoring, and treatment of diseases. Aimed at graduate students and professionals in the field of electrical engineering, electronics and communications engineering, biomedical engineering and nanomaterials, this book discusses fundamental aspects and latest research in the field of COVID-19 covers diagnostics techniques in detail provides overview of the symptoms, preventions, and treatments related to COVID-19 discusses android-based mobile applications helpful in spreading awareness of COVID-19
This reference text presents statistical information, causes and impacts of coronavirus on populations, economics, and environment. The text includes machine learning and deep learning techniques to understand exponential behavior as well as predicting the future reachability of the COVID-19 outbreak. It discusses important concepts including smart sensors for early stage diagnosis, diagnosis of COVID-19 using low power IoT-enabled systems, biomedical imaging and sensor fusion, and electronic solutions for diagnosis, monitoring, and treatment of diseases. Aimed at graduate students and professionals in the field of electrical engineering, electronics and communications engineering, biomedical engineering and nanomaterials, this book discusses fundamental aspects and latest research in the field of COVID-19 covers diagnostics techniques in detail provides overview of the symptoms, preventions, and treatments related to COVID-19 discusses android-based mobile applications helpful in spreading awareness of COVID-19
OCLC-licensed vendor bibliographic record.
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