
Sensor Data Analytics for Intelligent Healthcare Delivery
$597.52
- Hardcover
344 pages
- Release Date
28 October 2025
Summary
Sensor Data Analytics: Revolutionizing Healthcare Delivery
This book explores the transformative potential of sensor data analytics in healthcare, focusing on both real-time and streaming analytics applications in clinical and non-clinical environments. It introduces the foundations of sensor data collection and analytics, delving into data acquisition techniques, mining challenges, and the integration of wearable technologies. The book addresses key methodologies and real-world use…
Book Details
ISBN-13: | 9781032775463 |
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ISBN-10: | 1032775467 |
Series: | Advances in Digital Technologies for Smart Applications |
Author: | G.S. Karthick |
Publisher: | Taylor & Francis Ltd |
Imprint: | Chapman & Hall/CRC |
Format: | Hardcover |
Number of Pages: | 344 |
Release Date: | 28 October 2025 |
Weight: | 0g |
Dimensions: | 254mm x 178mm |
About The Author
G.S. Karthick
G.S.Karthick is an Assistant Professor in the Department of Software Systems, PSG College of Arts & Science, Coimbatore, India. Previously, he was a Research Fellow under the DST-ICPS Project and an Assistant Professor in the Department of Computer Science, Sri Ramakrishna College of Arts and Science, Coimbatore, India. He received his Ph.D. in Computer Science from Bharathiar University. He topped his Post-Graduation with a Gold Medal and Under-Graduation from SNR Sons College, also receiving three gold medals. He qualified UGC-NET Computer Science and Applications. He has visited many institutions and universities as a resource person. He holds an Indian Patent Grant for his work in Wireless Networks and the Internet of Things. He has published research papers in journals and presented at conferences. He has also published book chapters, edited four books, and authored two books. He is an Associate Editor of IJHISI, IJITN and IJEHMC and an active reviewer in journals. He has received awards for his achievements in academia and research. His areas of specialization are Machine Learning, the Internet of Things, Wireless Sensor Networks, and Analysis of Algorithms. His current research interests are in the healthcare internet of things and machine learning algorithms.
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