1st Edition

Emerging Technologies for Combatting Pandemics AI, IoMT, and Analytics

310 Pages 17 Color & 70 B/W Illustrations
by Auerbach Publications

310 Pages 17 Color & 70 B/W Illustrations
by Auerbach Publications

310 Pages 17 Color & 70 B/W Illustrations
by Auerbach Publications

The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote... Read more

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

CHITHARANJAN BILLA AND MURTHY CHAVALI

2 Assessing the Economic Impact of COVID-19

SONIA SHARMA, ANSHI GUPTA, AND JAGADEESH CHANDRA BOSE K.

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

R. ABD SHUKOR AND W. K. MOOI

4 Impact of COVID-19: Insights from Key Sectors of the Indian Economy

REENA MALIK

5 Future Scope of Artificial Intelligence in Healthcare for COVID-19

MANAS KUMAR YOGI AND JYOTSNA GARIKIPATI

6 Patient Recovery and Tracing Repercussions for COVID-19 in Discharged Patients

B. PATEL, K. PATEL, D. PATEL, M. BOHARA, AND A. GANATRA

7 The Impact of COVID-19 on the Maritime Economy: A Study on Bangladesh

BORNALI RAHMAN, MOHAMMAD TAMEEM HOSSAIN AZMI, AND JAKIR HOSAIN

8 Intelligent Optimization and Computational Learning Techniques for Mitigating Pandemics

KAYODE ABIODUN OLADAPO, JIDE EBENEZER TAIWO AKINSOLA, MORUF ADEAGBO, FATHIA ONIPEDE, SAMUEL AYOMIKUN AKINSEINDE, AND ADEBOLA ABDULWAHEED YUSUF

9 Various Deep Learning Methodologies for COVID-19 Diagnosis

K. PATEL, B. PATEL, M. BOHARA, D. PATEL, AND A. GANATRA

10 Hybridization of Decision Tree Algorithm Using Sequencing Predictive Model for COVID-19

A. A. AWOSEYI, JIDE EBENEZER TAIWO AKINSOLA, O. M. OLADOJA, MORUF ADEAGBO, AND O. O. ADEBOWALE

11 CoVICU: A Smart Model for Predicting the Intensive Care Unit Stay of COVID-19 Patients Using Machine Learning Techniques

SAKTHI JAYA SUNDAR RAJASEKAR, V. ARUNA DEVI, AND VARALAKSHMI PERUMAL

12 Long Short-Term Memory-Based Recurrent Neural Network Model for COVID-19 Prediction in Different States of India

MREDULRAJ S. PANDIANCHERY, V. SOWMYA, E. A. GOPALAKRISHNAN, AND K. P. SOMAN

13 Dengue in the Presence of COVID-19: Evaluation of Tree-Based Classifiers Using Stratified K- Fold on Dengue Dataset

SUPREET KAUR AND SANDEEP SHARMA

Index

Biography

Dr. M. Rubaiyat Hossain Mondal is a Professor in the Institute of Information and Communication Technology (IICT) at Bangladesh University of Engineering and Technology (BUET), Bangladesh.

Dr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey.

Dr. Surya Prasath is a mathematician with expertise in the application areas of image processing and computer vision.

Dr. Prajoy Podder is a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology.

Dr. Subrato Bharati is a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology.

Dr. Joarder Kamruzzaman is a Professor at the School of Engineering, Information Technology and Physical Sciences, Federation University, Australia.