Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

✍ Scribed by Khalid Raza

Publisher: Springer Singapore;Springer
Year: 2021
Tongue: English
Leaves: 437
Series: Studies in Computational Intelligence 923
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

✦ Table of Contents

Front Matter ....Pages i-xix
Front Matter ....Pages 1-1
An Introduction to Computational Intelligence in COVID-19: Surveillance, Prevention, Prediction, and Diagnosis (Khalid Raza, Maryam, Sahar Qazi)....Pages 3-18
Role of Computational Intelligence Against COVID-19 (Simran Kaur, Yasha Hasija)....Pages 19-43
Front Matter ....Pages 45-45
Using Computational Intelligence for Tracking COVID-19 Outbreak in Online Social Networks (Sahar Qazi, Salim Ahmad, Khalid Raza)....Pages 47-59
Social Network Analysis for the Identification of Key Spreaders During COVID-19 (Ahmadi Hasan, Ahmad Kamal)....Pages 61-77
Mobile Technology Solution for COVID-19: Surveillance and Prevention (Shaban Ahmad, Pragya Chitkara, Fatima Nazish Khan, Avtar Kishan, Vaibhav Alok, Ayyagari Ramlal et al.)....Pages 79-108
The Role of Internet of Things (IoT) in the Containment and Spread of the Novel COVID-19 Pandemic (Ibrahim Babangida Mohammed, Salmi Mohd Isa)....Pages 109-119
Front Matter ....Pages 121-121
A Review on Predictive Systems and Data Models for COVID-19 (Fatima Nazish Khan, Ayesha Ayubi Khanam, Ayyagari Ramlal, Shaban Ahmad)....Pages 123-164
A Comparative Study of the SIR Prediction Models and Disease Control Strategies: A Case Study of the State of Kerala, India (K. Reji Kumar)....Pages 165-174
Computational Intelligence Approach for Prediction of COVID-19 Using Particle Swarm Optimization (R. S. M. Lakshmi Patibandla, V. Lakshman Narayana)....Pages 175-189
COVID-19 Insightful Data Visualization and Forecasting Using Elasticsearch (Hemant Kumar Tewtia, Deepti Singh)....Pages 191-205
Computational Intelligence Methods for the Diagnosis of COVID-19 (Sarra Akermi, Subrata Sinha, Surabhi Johari, Sunil Jayant, Anshul Nigam)....Pages 207-223
Rapid Computer Diagnosis for the Deadly Zoonotic COVID-19 Infection (Peter Mudiaga Etaware)....Pages 225-250
Computational Intelligence Methods in Medical Image-Based Diagnosis of COVID-19 Infections (Abdullahi Isa)....Pages 251-270
Front Matter ....Pages 271-271
Computational Intelligence in Drug Repurposing for COVID-19 (Manish Kumar Tripathi, Sujata Sharma, Tej P. Singh, A. S. Ethayathulla, Punit Kaur)....Pages 273-294
COVID-19: Hard Road to Find Integrated Computational Drug and Repurposing Pipeline (Ankita Sahu, Sahar Qazi, Khalid Raza, Saurabh Verma)....Pages 295-309
Computational Intelligence in Vaccine Design Against COVID-19 (Kaushik Kumar Bharadwaj, Ankit Srivastava, Manasa Kumar Panda, Yengkhom Disco Singh, Rojali Maharana, Kalicharan Mandal et al.)....Pages 311-329
Front Matter ....Pages 331-331
Big Data Analytics for Understanding and Fighting COVID-19 (Sandhya Verma, Rajesh Kumar Gazara)....Pages 333-348
IoMT Potential Impact in COVID-19: Combating a Pandemic with Innovation (Mohd Faizan Siddiqui)....Pages 349-361
Advances in Intelligent Based Internet of Medical Things (IoMT) for COVID-19: Olfactory Disorders (V. Evelyn Brindha, X. Anitha Mary)....Pages 363-371
Integrating M-Health with IoMT to Counter COVID-19 (Devansh Sharma, Ali Zaid Bin Nawab, Mansaf Alam)....Pages 373-396
Digital Image Analysis Is a Silver Bullet to COVID-19 Pandemic (Sakshi Aggarwal, Navjot Singh, K. K. Mishra)....Pages 397-414
Non Linear Tensor Diffusion Based Unsharp Masking for Filtering of COVID-19 CT Images (S. N. Kumar, A. Lenin Fred, L. R. Jonisha Miriam, Parasuraman Padmanabhan, Balazs Gulyas, H. Ajay Kumar)....Pages 415-436

✦ Subjects

Engineering; Computational Intelligence; Health Informatics; Bioinformatics

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