IoT-Based Data Analytics for the Healthcare Industry : Techniques and Applications

著者名：Singh, Sanjay Kumar (EDT)/Singh, Ravi Shankar (EDT)/Pandey, Anil Kumar (EDT)/Udmale, Sandeep S (EDT)/Chaudhary, Ankit (EDT)

Academic Press（2020/11/07発売）

• 言語：ENG
• ISBN：9780128214725
• eISBN：9780128214763

Description

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.- Provides state-of-art methods and current trends in data analytics for the healthcare industry- Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques- Discusses several potential AI techniques developed using IoT for the healthcare industry- Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages

Table of Contents

SECTION I: Health IoT data analytics1. Internet of things in the healthcare industry2. IoT healthcare architecture3. Characteristics of IoT health data4. Health data analytics using Internet of things5. Computational intelligence in Internet of things for future healthcare applicationsSECTION II: IoT services in health industry6. IoT services in healthcare industry with fog/edge and cloud computing7. Multicriteria decision-making in health informatics using IoT8. A research review on semantic interoperability issues in electronic health record systems in medical healthcare9. IoT for health insurance companies10. Security and privacy challenges in healthcare using Internet of Things11. A secure blockchain-based solution for harnessing the future of smart healthcareSECTION III: Applications of IoT for human12. Designing an effective e-healthcare system using Internet of Things13. Heart rate monitoring system using Internet of Things14. A smart hand for VI: Resource-constrained assistive technology for visually impaired15. MIoT: Medical Internet of Things in pain assessmentSECTION IV: Applications of IoT for animals16. Applications of Internet of Things in animal science17. Internet of animal health things (IoAT): A new frontier in animal biometrics and data analytics research18. Internet of Things for control and prevention of infectious diseases19. Telemedicine system for animal using low bandwidth cellular communication post COVID-1920. Internet of things and other emerging technologies in digital pathology