Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications.
The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health.
Les mer
1. Combining IoT architectures in next generation healthcare computing systems
2. RFID-based unsupervised apnea detection in health care system
3. Designing a cooperative hierarchical model of interdiction median problem with protection and its solution approach: A case study of health-care network
4. Parallel machine learning and deep learning approaches for internet of medical things (IoMT)
5. Cloud-based IoMT framework for cardiovascular disease prediction and diagnosis in personalized E-health care
6. A study on security privacy issues and solutions in internet of medical things — A review
7. Application of computational intelligence models in IoMT big data for heart disease diagnosis in personalized health care
8. An improved canny detection method for detecting human flexibility
9. Prediction and classification of diabetes mellitus using genomic data
10. An application of cypher query-based dynamic rule-based decision tree over suicide statistics dataset with Neo4j
11. Exploring the possibilities of security and privacy issues in health-care IoT
Les mer
Presents state-of-the-art of artificial intelligence paradigms on IoT systems surrounding personalized healthcare
Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT
Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems
Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data
Les mer
Produktdetaljer
ISBN
9780128211878
Publisert
2020-11-11
Utgiver
Vendor
Academic Press Inc
Vekt
570 gr
Høyde
229 mm
Bredde
152 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
360