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IoT-Based Data Analytics for the Healthcare Industry: Techniques and Applications (Intelligent Data-Centric Systems)

Editat de Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Udmale S.S., Ankit Chaudhary
Notă GoodReads:
en Limba Engleză Paperback – 11 Nov 2020
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
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Specificații

ISBN-13: 9780128214725
ISBN-10: 0128214724
Pagini: 340
Dimensiuni: 191 x 235 mm
Greutate: 6.8 kg
Editura: ELSEVIER SCIENCE
Seria Intelligent Data-Centric Systems


Public țintă

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

Cuprins

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