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Data Science for COVID-19 Volume 1 2021

1. Data Science for COVID-19

2. Chapter 1 Predictive models to the COVID-19

3. Chapter 2 An artificial intelligence–based decision support and resource management system for COVID-19 pandemic

4. Chapter 3 Normalizing images is good to improve computer-assisted COVID-19 diagnosis

5. Chapter 4 Detection and screening of COVID-19 through chest computed tomography radiographs using deep neural networks.

6. Chapter 5 Differential evolution to estimate the parameters of a SEIAR model with dynamic social distancing

7. Chapter 6 Limitations and challenges on the diagnosis of COVID-19 using radiology images and deep learning

8. Chapter 7 Deep convolutional neural network–based image classification for COVID-19 diagnosis

9. Chapter 8 Statistical machine learning forecasting simulation for discipline prediction and cost estimation of COVID-19 pandemic

10. Chapter 9 Application of machine learning for the diagnosis of COVID-19

11. Chapter 10 PwCOV in cluster-based web server

12. Chapter 11 COVID-19–affected medical image analysis using DenserNet

13. Chapter 12 uTakeCare

14. Chapter 13 COVID-19 detection from chest X-rays using transfer learning with deep convolutional neural networks

15. Chapter 14 Lexicon-based sentiment analysis using Twitter data

16. Chapter 15 Real-time social distance alerting and contact tracing using image processing

17. Chapter 16 Machine-learning models for predicting survivability in COVID-19 patients

18. Chapter 17 Robust and secured telehealth system for COVID-19 patients

19. Chapter 18 A novel approach to predict COVID-19 using support vector machine

20. Chapter 19 An ensemble predictive analytics of COVID-19 infodemic tweets using bag of words

21. Chapter 20 Forecast and prediction of COVID-19 using machine learning

22. Chapter 21 Time series analysis of the COVID-19 pandemic in Australia using genetic programming

23. Chapter 22 Image analysis and data processing for COVID-19

24. Chapter 23 A demystifying convolutional neural networks using Grad-CAM for prediction of coronavirus disease (COVID-19) on X-ray images

25. Chapter 24 Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images

26. Chapter 25 Computational modeling of the pharmacological actions of some antiviral agents against SARS-CoV-2

27. Chapter 26 Received signal strength indication—based COVID-19 mobile application to comply with social distancing using bluetooth signals from smartphones

28. Chapter 27 COVID-19 pandemic in India

29. Chapter 28 Mathematical recipe for curbing coronavirus (COVID-19) transmition dynamics

30. Chapter 29 Sliding window time series forecasting with multilayer perceptron and multiregression of COVID-19 outbreak in Malaysia

31. Chapter 30 A two-level deterministic reasoning pattern to curb the spread of COVID-19 in Africa

32. Chapter 31 Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model

33. Chapter 32 A novel machine learning–based detection and diagnosis model for coronavirus disease (COVID-19) using discrete wavelet transform with rough neural network

34. Chapter 33 Artificial intelligence–based solutions for early identification and classification of COVID-19 and acute respiratory distress syndrome

35. Chapter 34 Internet of Medical Things (IoMT) with machine learning–based COVID-19 diagnosis model using chest X-ray images

36. Chapter 35 The growth of COVID-19 in Spain. A view based on time-series forecasting methods

37. Chapter 36 On privacy enhancement using u-indistinguishability to COVID-19 contact tracing approach in Korea

38. Chapter 37 Scheduling shuttle ambulance vehicles for COVID-19 quarantine cases, a multi-objective multiple 0–1 knapsack model with a novel Discrete Binary Gaining-Sharing knowledge-based optimization algorithm

39. Index