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Hybrid artificial intelligence and I...

Kumar Bhoi, Akash.

Hybrid artificial intelligence and IoT in healthcare

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hybrid artificial intelligence and IoT in healthcareedited by Akash Kumar Bhoi ... [et al.].
其他作者:	Kumar Bhoi, Akash.
出版者:	Singapore :Springer Singapore :2021.
面頁冊數:	xvi, 328 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceMedical applications.
電子資源:	https://doi.org/10.1007/978-981-16-2972-3
ISBN:	9789811629723$q(electronic bk.)

Hybrid artificial intelligence and IoT in healthcare
Hybrid artificial intelligence and IoT in healthcare[electronic resource] /edited by Akash Kumar Bhoi ... [et al.]. - Singapore :Springer Singapore :2021. - xvi, 328 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.2091868-4394 ;. - Intelligent systems reference library ;v.24..

Chapter 1. Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects -- Chapter 2. Hybrid Intelligent System for Medical Diagnosis in Healthcare -- Chapter 3. Remote Patient Monitoring Using IoT, Cloud Computing and AI -- Chapter 4. An Analytical Study of the Role of M-IoT in Healthcare Domain -- Chapter 5. Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis -- Chapter 6. RADIoT: The unifying framework for IoT, Radiomics and Deep Learning Modelling -- Chapter 7. Hybrid Artificial Intelligence and IoT in Healthcare for cardiovascular patient in decision making system -- Chapter 8. A Smart Assistive System for Visually Impaired to in-form acquaintance using Image Processing (ML) supported by IoT -- Chapter 9. Internet of things in healthcare: A survey -- Chapter 10. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm -- Chapter 11. Integration of Machine Learning and IoT in Healthcare Domain -- Chapter 12. Managing Interstitial Lung Diseases with Computer Aided Visualization -- Chapter 13. Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals -- Chapter 14. Emerging Technologies for Pandemic and its Impact -- Chapter 15. Impact of Artificial Intelligence in Healthcare: A Study.

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

ISBN: 9789811629723$q(electronic bk.)

Standard No.: 10.1007/978-981-16-2972-3doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

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520 $a This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.
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