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Intelligent Data Analysis for COVID-19 Pandemic

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Cover of 'Intelligent Data Analysis for COVID-19 Pandemic'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Learning-Based Ensemble Approach for Predicting the Mortality Risk of COVID-19 Patients: A Case Study
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    Chapter 2 Role of Internet of Health Things (IoHTs) and Innovative Internet of 5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning
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    Chapter 3 Battling COVID-19 with Process Model of Integrated Digital Technology: An Analysis of Qualitative Data
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    Chapter 4 High-Fidelity Intelligence Ventilator to Help Infect with COVID-19 Based on Artificial Intelligence
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    Chapter 5 Boon of Artificial Intelligence in Diagnosis of COVID-19
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    Chapter 6 Artificial Intelligence and Big Data Solutions for COVID-19
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    Chapter 8 Emerging Trends in Higher Education During Pandemic Covid-19: An Impact Study from West Bengal
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    Chapter 9 COVID-19: Virology, Epidemiology, Diagnostics and Predictive Modeling
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    Chapter 10 Improved Estimation in Logistic Regression Through Quadratic Bootstrap Approach: An Application in Indian Agricultural E-learning System During COVID-19 Pandemic
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    Chapter 11 COVID-19 and Stock Markets: Deaths and Strict Policies
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    Chapter 12 Artificial Intelligence Techniques in Medical Imaging for Detection of Coronavirus (COVID-19/SARS-COV-2): A Brief Survey
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    Chapter 13 A Travelling Disinfection-Man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sharing Knowledge-Based Optimization Algorithm
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    Chapter 14 COVID-19 Lock Down Impact on Mental Health: A Cross-Sectional Online Survey from Kerala, India
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    Chapter 15 Analysis, Modelling and Prediction of COVID-19 Outbreaks Using Machine Learning Algorithms
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    Chapter 16 Tracking and Analysis of Corona Disease Using Intelligent Data Analysis
Attention for Chapter 2: Role of Internet of Health Things (IoHTs) and Innovative Internet of 5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning
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