Advanced Bioscience and Biosystems for Detection and Management of Diabetes
Language: English
Published by Springer, 2022
Series: Book 7 of 9 - Springer Series on Bio- and Neurosystems
- Hardcover
- Used
Condition: Used
£ 96.33
Quantity: 1 available
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Zustand: Hervorragend | Seiten: 324 | Sprache: Englisch | Produktart: Bücher | This book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes. It describes various techniques and technologies used for diabetes detection. The content is built upon moving from regressive technology (invasive) and adapting new-age pain-free technologies (non-invasive), machine learning and artificial intelligence for diabetes monitoring and management. This book details all the popular technologies used in the health care and medical fields for diabetic patients. An entire chapter is dedicated to how the future of this field will be shaping up and the challenges remaining to be conquered. Finally, it shows artificial intelligence and predictions, which can be beneficial for the early detection, dose monitoring and surveillance for patients suffering from diabetes.
Seller Inventory # 39011275/1
- Title
- Advanced Bioscience and Biosystems for Detection and Management of Diabetes
- Author
- Unbekannt
- Publisher
- Springer
- Publication year
- 2022
- Condition
- Hervorragend
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3030997278
- ISBN 13
- 9783030997274
- Series
- Book 7 of 9: Springer Series on Bio- and Neurosystems
- Seller catalogs
- Bücher
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About the Author
Dr. Kishor Kumar Sadasivuni is a Research Assistant Professor and the group leader of Smart Nano Solutions at Center for Advanced Materials, Qatar University. He received his Ph.D. in Materials Science and Engineering from the University of South Brittany at Lorient, France, in 2012.
John-John Cabibihan (Senior Member, IEEE) received the Ph.D. degree in bioengineering, with a specialization in biorobotics, from Scuola Superiore Sant’Anna, Pisa, Italy, in 2007. From 2008 to 2013, he was an Assistant Professor with the Electrical and Computer Engineering Department, National University of Singapore. He is currently an Associate Professor with the Department of Mechanical and Industrial Engineering, Qatar University.
Abdulaziz Al-Ali received the Ph.D. degree in machine learning from the University of Miami, FL, USA, in 2016. He is currently an Assistant Professor with the Computer Science and Engineering Department,College of Engineering, Qatar University. In addition to developing novel machine learning techniques, his research involves building predictive models for textual, image, and sensor-based data. Dr. Al-Ali’s interest remains to be in the machine learning, artificial intelligence, and data mining fields. He now takes the role of the Director of the KINDI Center for Computing Research in Qatar University.
"About the title" may belong to another edition of this title.
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