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Emerging Technologies for Combatting Pandemics : AI, IoMT, and Analytics

Emerging Technologies for Combatting Pandemics : AI, IoMT, and Analytics (Paperback)

Utku Kose, Prajoy Podder, V. B. Surya Prasath, M. Rubaiyat Hossain Mondal, Subrato Bharati (엮은이)
Auerbach Publications
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Emerging Technologies for Combatting Pandemics : AI, IoMT, and Analytics
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책 정보

· 제목 : Emerging Technologies for Combatting Pandemics : AI, IoMT, and Analytics (Paperback) 
· 분류 : 외국도서 > 의학 > 의료서비스 전달
· ISBN : 9781032349176
· 쪽수 : 310쪽
· 출판일 : 2024-10-09

목차

Foreword. Preface. Acknowledgments. About the Editors. List of Contributors. 1 Artificial Intelligence Leveraged Internet of Medical Things and Continuous Health Monitoring and Combating Pandemics within the Internet of Medical Things Framework. 2 Assessing the Economic Impact of COVID-19. 3 Assessing the Economic Impact of COVID-19 on the Implications of the Internet of Things Adoption on Small and Medium Enterprise Business’s Sustainability. 4 Impact of COVID-19: Insights from Key Sectors of the Indian Economy. 5 Future Scope of Artificial Intelligence in Healthcare for COVID-19. 6 Patient Recovery and Tracing Repercussions for COVID-19 in Discharged Patients. 7 The Impact of COVID-19 on the Maritime Economy: A Study on Bangladesh. 8 Intelligent Optimization and Computational Learning Techniques for Mitigating Pandemics. 9 Various Deep Learning Methodologies for COVID-19 Diagnosis. 10 Hybridization of Decision Tree Algorithm Using Sequencing Predictive Model for COVID-19. 11 CoVICU: A Smart Model for Predicting the Intensive Care Unit Stay of COVID-19 Patients Using Machine Learning Techniques. 12 Long Short-Term Memory-Based Recurrent Neural Network Model for COVID-19 Prediction in Different States of India. 13 Dengue in the Presence of COVID-19: Evaluation of Tree-Based Classifiers Using Stratified K- Fold on Dengue Dataset. Index.

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