IoT-Based Data Analytics for the Healthcare Industry

Techniques and Applications
Erscheinungsjahr 2020
ISBN: 978-0-12-821472-5
Verlag: William Andrew Publishing

Buch, Englisch, 340 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 680 g

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization.

The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.

Zielgruppe

<p>Researchers, academicians, and experts working in IoT in Health Industry, Health Management, Biomedical Engineering, Medical Applications, and Analysis, Application of Machine Learning and Deep Learning in Health, Big data-based learning techniques, Integrated approach of IoT and Artificial Intelligence for the Healthcare industry. Scientists, Researchers, Practitioners, Professional from Government and Industries, Cloud-centric applications-based industry, Industries planning to deploy advance analytics (DL) on Industrial Data</p>

Autoren/Hrsg.

Singh, Sanjay Kumar

Singh, Ravi Shankar

Pandey, Anil Kumar

Udmale, Sandeep S

Chaudhary, Ankit

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

SECTION I: Health IoT data analytics

1. Internet of things in the healthcare industry 2. IoT healthcare architecture 3. Characteristics of IoT health data 4. Health data analytics using Internet of things 5. Computational intelligence in Internet of things for future healthcare applications

SECTION II: IoT services in health industry

6. IoT services in healthcare industry with fog/edge and cloud computing 7. Multicriteria decision-making in health informatics using IoT 8. A research review on semantic interoperability issues in electronic health record systems in medical healthcare 9. IoT for health insurance companies 10. Security and privacy challenges in healthcare using Internet of Things 11. A secure blockchain-based solution for harnessing the future of smart healthcare

SECTION III: Applications of IoT for human

12. Designing an effective e-healthcare system using Internet of Things 13. Heart rate monitoring system using Internet of Things 14. A smart hand for VI: Resource-constrained assistive technology for visually impaired 15. MIoT: Medical Internet of Things in pain assessment

SECTION IV: Applications of IoT for animals

16. Applications of Internet of Things in animal science 17. Internet of animal health things (IoAT): A new frontier in animal biometrics and data analytics research 18. Internet of Things for control and prevention of infectious diseases 19. Telemedicine system for animal using low bandwidth cellular communication post COVID-19 20. Internet of things and other emerging technologies in digital pathology

Über Autor(innen)

Udmale, Sandeep S
Sandeep S. Udmale received the B.E. degree in computer engineering from the University of Mumbai, Mumbai, India, in 2006, and the M.Tech. degree in computer engineering from Dr. Babasaheb Ambedkar Technological University, Raigad, India, in 2009. He is currently pursuing the Ph.D. degree in computer science and engineering with IIT (BHU) Varanasi, Varanasi, India. He is currently an Assistant Professor with the Department of Computer Engineering and Information Technology, Veermata Jijabai Technological Institute, Mumbai, India. His current research interests include machine learning, data science, and optimization and pattern analysis. Mr. Udmale is a member of the ACM and Computer Society of India.

Singh, Sanjay Kumar
Sanjay Kumar Singh received the M.Tech. degree in computer applications from the IIT (ISM), Dhanbad, India, in 1995, and the Ph.D. degree in computer science and engineering from Uttar Pradesh Technical University, Lucknow, India, in 2004. He is currently a Professor with the Department of Computer Science and Engineering, IIT (BHU) Varanasi, Varanasi, India. He has authored or coauthored more than 150 national and international journal publications, book chapters, and conference papers. His current research interests include biometrics, computer vision, image and video processing, pattern recognition, and artificial intelligence. Dr. Singh is a member of the ACM and Computer Society of India. He is a Guest Editorial Board Member, a reviewer for various journals, and a TPC Member for various conferences.

Singh, Ravi Shankar
Ravi Shankar Singh is Associate Professor at Department of Computer Science and Engineering, IIT (BHU), Varanasi, India. He received his B. Tech., M. Tech. and Ph.D., all in Computer Science and Engineering. His research interests include Algorithms and High Performance Computing. He has authored several research publications and one book. He has conducted many workshops/seminars in various areas of Computer Science and Engineering. He has served as reviewer of many reputed international journals.

Pandey, Anil Kumar
Anil Kumar Pandey completed his master degree in Mathematics and Postgraduate Diploma in Computer Science Application. He has done Master in Computer Science and Computer Application. He has done Ph.D in Computer Science He is working as Programmer in Banaras Hindu University. He has about 32 years experience of teaching and Research. Dr. Pandey have exposure of community based data analysis. He has assisted more than 20 Ph.D. students in Science, Humanities and Medicine. He has expertise in relational data base management system, AI and machine learning and IOT.

Chaudhary, Ankit
Ankit Chaudhary is an Assistant Professor at Dept. of Computer Science, The University of Missouri at Saint Louis. He received his B.Tech., M.Eng. and Ph.D., all in Computer Engineering. His research interests include Data Science, Computer Vision and Cyber Security. He has authored seventy research publications and two books. He is an Associate Editor of Computers and Electrical Engineering, an Elsevier Journal. Also he is on the Editorial Board of several International Journals and serves as Program Chair/TPC in many Conferences. He served as federal grant reviewer and also a reviewer for Journals including IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, IEEE Trans. on Visualization & Computer Graphics, IET Computer Vision, IET Image Processing, ACM Trans. on Interactive Intelligent Systems, Signal Image and Video Processing, Robotics and Autonomous Systems.