IoT-based data analytics for the healthcare industry : techniques and applications / edited by Sanjay Kumar Singh (et. all)
Material type:
TextLanguage: English Publisher: Cambridge: Academic Press, 2021Description: xx, 320 pages : ill. ; 24 cmISBN: 9780128214725Subject(s): Medical statistics -- Data processing | Internet of things | Internet of things | Medical statistics -- Data processingDDC classification: 610.21 | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | Institute of Public Enterprise, Library S Campus | 610.21 SIN (Browse shelf) | Available (Restricted Access) | 48501 |
Includes bibliographical references and index.
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
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.
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