Overview
- Discusses the causes and types of diabetes
- Covers the principle and methodology behind different types of techniques to treat diabetes
- Highlights the importance of artificial intelligence on the early diagnosis of diabetes
Part of the book series: Springer Series on Bio- and Neurosystems (SSBN, volume 13)
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Table of contents (15 chapters)
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Advanced Bioscience and Biosystems for Detection and Management of Diabetes
Editors: Kishor Kumar Sadasivuni, John-John Cabibihan, Abdulaziz Khalid A M Al-Ali, Rayaz A. Malik
Series Title: Springer Series on Bio- and Neurosystems
DOI: https://doi.org/10.1007/978-3-030-99728-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-99727-4Published: 02 July 2022
Softcover ISBN: 978-3-030-99730-4Published: 03 July 2023
eBook ISBN: 978-3-030-99728-1Published: 01 July 2022
Series ISSN: 2520-8535
Series E-ISSN: 2520-8543
Edition Number: 1
Number of Pages: VIII, 313
Number of Illustrations: 2 b/w illustrations, 148 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Machine Learning