Hybrid Artificial Intelligence and IoT in Healthcare

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Auteur

AKASH KUMAR BHOI [B.Tech, M.Tech, Ph.D.] is working as Assistant Professor (Research) in the Department of Computer Science and Engineering at Sikkim Manipal Institute of Technology (SMIT), India, since 2012. He is also working (Period: 20th Jan 2021 - 19th Jan 2022) as Research Associate at Wireless Networks (WN) Research Laboratory, Institute of Information Science and Technologies, National Research Council (ISTI-CRN) Pisa, Italy. He is a University Ph.D. Course Coordinator for Research & Publication Ethics (RPE). He is a member of IEEE, ISEIS, and IAENG, an associate member of IEI, UACEE, and an editorial board member reviewer of Indian and international journals. He is also a regular reviewer of repute journals, namely IEEE, Springer, Elsevier, Taylor and Francis, Inderscience, etc. His research areas are Biomedical Technologies, the Internet of Things, Computational Intelligence, Antenna, Renewable Energy. He has published several papers in national and international journals and conferences. He has 100+ documents registered in the Scopus database by the year 2020. He has also served on numerous organizing panels for international conferences and workshops. He is currently editing several books with Springer Nature, Elsevier and Routledge & CRC Press. He is also serving as Guest editor for special issues of the journal like Springer Nature and Inderscience.

Dr. Pradeep Kumar Mallick is currently working as Senior Associate Professor in the School of Computer Engineering , Kalinga Institute of Industrial technology (KIIT) Deemed to be University, Odisha, India .He has also served as Professor and Head Department of Computer Science and Engineering , Vignana Bharathi Institute of Technology, Hyderabad . He has completed his Post-Doctoral Fellow (PDF) from Kongju National University South Korea , PhD from Siksha Ó' Anusandhan University, M. Tech. (CSE) from Biju Patnaik University of Technology (BPUT), and MCA from Fakir Mohan University Balasore, India. Besides academics, he is also involved in various administrative activities, Member of Board of Studies to C.V.Ramman Global University Bhubaneswar, Member of Doctoral Research Evaluation Committee, Admission Committee etc. His area of research includes Data Mining, Image Processing, Soft Computing, and Machine Learning. Now he is the editorial member of Korean Convergence Society for SMB .He has published 12 edited books,1 textbook and more than 80 research papers in National and international journals and conference proceedings to his credit.

Dr. Mihir Narayan Mohanty is presently working as Professor in the Department of Electronics and Communication Engineering, Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha. He has published over 300 papers in International/National Journals, Book Chapters, and Conferences along with approximately 25 years of teaching experience in UG and PG level. He is the active member of many professional societies like IEEE, IET, ISTE, IRED, EMC & EMI Engineers India, ISCA, ACEEE, IAEng etc. Also, he is a Fellow of IE (I) and IETE. He has received his M.Tech. Degree in Communication System Engineering from Sambalpur University, Sambalpur, Odisha. Also, he has done his Ph.D. work in Applied Signal Processing. He was working as Associate Professor and Head in the Department of Electronics and Instrumentation Engineering, Institute of Technical Education and Research, Siksha O' Anusandhan Deemed to be University, Bhubaneswar, Odisha. His area of research interests includes Applied Signal and Image Processing, Digital Signal/Image Processing, Biomedical Signal Processing, Microwave Communication Engineering and Bioinformatics. He has worked as Guest lecturer in many universities. Simultaneously has given many invited talks. He has reviewed many Springer and IEEE based conference papers as well as for some International Journal Papers. Currently 7 research scholars along with 2 number of PG students are under his guidance on Antenna, Signal, Image & Speech Processing and Communication Engineering.

Victor Hugo C. de Albuquerque [M'17, SM'19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil. He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at...

Contenu
Chapter 1. Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects.- Chapter 2. Hybrid Intelligent System for Medical Diagnosis in Healthcare.- Chapter 3. Remote Patient Monitoring Using IoT, Cloud Computing and AI.- Chapter 4. An Analytical Study of the Role of M-IoT in Healthcare Domain.- Chapter 5. Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis.- Chapter 6. RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling.- Chapter 7. Hybrid Artificial Intelligence and IoT in Healthcare for cardiovascular patient in decision making system.- Chapter 8. A Smart Assistive System for Visually Impaired to in-form acquaintance using Image Processing (ML) supported by IoT.- Chapter 9. Internet of things in healthcare: A survey.- Chapter 10. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm.- Chapter 11. Integration of Machine Learning and IoT in Healthcare Domain.- Chapter 12. Managing Interstitial Lung Diseases with Computer Aided Visualization.- Chapter 13. Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals.- Chapter 14. Emerging Technologies for Pandemic and its Impact.- Chapter 15. Impact of Artificial Intelligence in Healthcare: A Study.