Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models
Internet of Things and Deep Learning Models
1st Edition
Published on 14. November 2021
Book
Hardback
410 pages
978-1-119-79172-0 (ISBN)
Description
"Emerging Technologies for Healthcare" begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques.
The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions.
This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms.
More details
Other editions
Additional editions
Monika Mangla | Nonita Sharma | Poonam Garg
Emerging Technologies for Healthcare
Internet of Things and Deep Learning Models
E-Book
07/2021
1st Edition
Wiley
€200.99
Available for download
Monika Mangla | Nonita Sharma | Poonam Garg
Emerging Technologies for Healthcare
Internet of Things and Deep Learning Models
E-Book
07/2021
1st Edition
Wiley
€200.99
Available for download
Persons
Dr. Monika Mangla, received her PhD from Thapar Institute of Engineering & Technology, Patiala, Punjab, in the year 2019. Currently, she is working as an assistant professor in the Department of Computer Engineering at Lokmanya Tilak College of Engineering (LTCoE), Navi Mumbai.
Dr. Nonita Sharma is working as assistant professor, National Institute of Technology, Jalandhar. She received the B. Tech degree in Computer Science Engineering in 2002, the M. Tech degree in Computer Science engineering in 2004, and the PhD degree in Wireless Sensor Network from the National Institute of Technology, Jalandhar, India in 2017.
Dr. Poonam, received her PhD from J.C Bose University of Science and technology YMCA, Faridabad, India, in the year 2019. Currently, she is working as an assistant professor in the Department of Computer Engineering at J.C Bose University of Science and technology YMCA, Faridabad, India.
Dr. Vaishali Mehta has done her PhD in Facility location problems from Thapar University. Her research interests include approximation algorithms, location modelling, IoT, cloud computing and machine learning.
Dr. Thirunavakkarasu K. is a distinguished academician with over twenty-two years of experience in teaching and working in the software industry. Curently, he is heading the Department of BCA and specialization in Galgotias University. He has done Bachelor in computer science from the University of Madras in 1994 and received 3 master's degrees in computer science, PhD and PostDoc.
Dr. Shahnawaz Khan is an assistant professor and serving as Secretary-General of Scientific Research Council at University College of Bahrain. He holds a PhD (Computer Science) from the Indian Institute of Technology (BHU), India.