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

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 industryExplores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages INDICE: Section I Health IoT Data Analytics 1. Introduction to IoT 2. Charateristics of IoT data 3. Health IoT Data Analytics Methods 4. Health IoT Architecture 5. Health IoT Data Analytics Challenges 6. Health IoT Data Analytics opportunities Section II IoT Services in Health Industry 7. IoT for Patients 8. IoT for Physicians 9. IoT for Hospitals 10. IoT for Health Insurance Companies 11. IoT for Privacy and security Section III Applications of IoT for Human 12. New Born 13. Geriatic 14. Parkinson 15. Sports 16. Smart health services in smart cities Section IV Applications of IoT for Animals 17. Live Stock 18. Pet Animals 19. Wild Animals 20. Animal Monitoring

• ISBN: 978-0-12-821472-5
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 370
• Fecha Publicación: 01/10/2020
• Nº Volúmenes: 1
• Idioma: Inglés