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Machine Learning and the Internet of Medical Things in Healthcare
- 1st Edition - April 14, 2021
- Editors: Krishna Kant Singh, Mohamed Elhoseny, Akansha Singh, Ahmed A. Elngar
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 1 2 2 9 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 3 2 1 7 - 0
Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides… Read more
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discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide.The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks.
- Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning
- Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics
- Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies
Academic research on: Biomedical Engineering, Computer Science, and researchers in machine learning, computational intelligence, as well as clinicians and researchers in various medical research and clinical settings
1. Machine Learning Architecture and Framework
2. Machine Learning in Healthcare: Review, Opportunities and Challenges
3. Machine Learning for Biomedical Signal Processing
4. Artificial Intelligence in Medicine
5. Diagnosing of Disease Using Machine Learning
6. A Novel Approach of Telemedicine for Managing Fetal Condition based on Machine Learning Technology from Iot Based Wearable Medical Device
7. Iot Based Healthcare Delivery Services to Promote Transparency and Patient Satisfaction in a Corporate Hospital
8. Examining Diabetic Subjects on Their Correlation with TTH and CAD: A Statistical Approach on Exploratory Results
9. Cancer Prediction and Diagnosis Hinged on HCML in IOMT Environment
10. Parameterization Techniques for Automatic Speech Recognition System
11. Impact of Big Data in Healthcare System: A Quick Look into Electronic Health Record Systems
- No. of pages: 290
- Language: English
- Edition: 1
- Published: April 14, 2021
- Imprint: Academic Press
- Paperback ISBN: 9780128212295
- eBook ISBN: 9780128232170
KS
Krishna Kant Singh
Dr. Krishna Kant Singh is working as Associate Professor in Electronics & Communication Engineering in KIET Group of Institutions, Delhi-NCR, India. He has wide teaching and research experience. Dr. Singh has acquired B.Tech, M.Tech, and Ph.D (IIT Roorkee) in the area of image processing and remote sensing. He has authored more than 70 research papers in Scopus and SCIE indexed journals of repute. He has also authored 25 technical books. He is also an associate editor of Journal of Intelligent & Fuzzy Systems (SCIE Indexed), IEEE ACCESS (SCIE Indexed) and Guest Editor of Open Computer Science. He is also member of Editorial board of Applied Computing & Geoscience (Elsevier).
Affiliations and expertise
Professor, Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, IndiaME
Mohamed Elhoseny
Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems.
Affiliations and expertise
Associate Professor, University of Sharjah, UAEAS
Akansha Singh
Dr. Akansha Singh is B.Tech, M.Tech and PhD in Computer Science. She received her PhD from IIT Roorkee in the area of image processing and machine learning. Currently, she is working as Associate Professor in Department of Computer Science and Engineering, ASET, Amity University, Noida. She has to her credit more than 70 research papers, 20 books and numerous conference papers. She has been the editor for books on emerging topics with publishers like Elsevier, Taylor and Francis, Wiley etc. Dr. Singh has served as reviewer and technical committee member for multiple conferences and journals of High Repute. She is also the Associate Editor for IEEE Access journal which is an SCI journal with impact factor of 4.018. Dr. Singh has also undertaken government funded project as Principal Investigator. Her research areas include image processing, remote sensing, IoT and machine learning.
Affiliations and expertise
Department of CSE, ASET, Amity University Uttar Pradesh, Noida, IndiaAE
Ahmed A. Elngar
Dr. Ahmed A. Elngar is currently an assistant professor at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, Egypt, and College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Dr. Elngar is the director of Technological and Informatics Studies Center (TISC) and is the founder and head of Scientific Innovation Research Group (SIRG) at Beni-Suef University.
Affiliations and expertise
Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni-Suef City, Egypt, and College of Computer Information Technology, American University in the Emirates, United Arab Emirates.Read Machine Learning and the Internet of Medical Things in Healthcare on ScienceDirect