Data Science for COVID-19 Volume 1
Computational Perspectives

Examines methods and applications of Data Science and how they can contribute to new research and treatments for COVID-19

Utku Kose (Edited by), Deepak Gupta (Edited by), Victor Hugo Costa de Albuquerque (Edited by), Ashish Khanna (Edited by)

9780128245361, Elsevier Science

Paperback, published 25 May 2021

752 pages
23.4 x 19 x 4.6 cm, 1.54 kg

Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation.

1. Predictive models to the COVID-19
2. An AI Based Decision Support and Resource Management System for COVID-19 Pandemic
3. Normalizing Images is Good to Improve Computer-Assisted COVID-19 Diagnosis
4. Detection and Screening of COVID-19 Through Chest CT Radiographs Using Deep Neural Networks
5. Differential Evolution to improve the effectiveness of the epidemiological SEIR model enhanced with dynamic social distancing: the case of COVID-19 and Italy
6. Limitations and Challenges on the Diagnosis of COVID-19 Using Radiology Images and Deep Learning
7. Deep Convolutional Neural Network Based Image Classification for Covid-19 Diagnosis
8. Statistical Machine Learning Forecasting Simulation for Discipline Prediction and Cost Estimation of COVID-19 Pandemic
9. Application of Machine Learning for the Diagnosis of COVID-19
10. PwCOV in Cluster Based Web Server: An Assessment of Service Oriented Computing for COVID-19 Disease Processing System
11. COVID-19-affected Medical Image Analysis using Denser Net
12. uTakeCare: unlock full decentralization of personal data for a respectful decontainment in the context of COVID-19: toward a digitally empowered anonymous citizenship
13. COVID-19 Detection from Chest X-Rays Using Transfer Learning with Deep CNN
14. Lexicon Based Sentiment Analysis Using Twitter Data: A Case of COVID-19 Outbreak in India and Abroad
15. Real time social distancing alerting and contact tracing using image processing
16. Machine Learning Models for Predicting Survivability in COVID-19 Patients
17. Robust and Secured Telehealth System for COVID-19 Patients
18. A Novel Approach to Predict COVID-19 Using Support Vector Machine
19. An Ensemble Predictive Analytics of Covid-19 Infodemic Tweets Using Bag of Words
20. Forecast & Prediction of Covid-19 Using Machine Learning
21. Time Series Analysis of the COVID-19 Pandemic in Australia using Genetic Programming
22. Image Analysis and Data Processing for COVID-19
23. A Demystifying Convolutional Neural Networks using Gradcam for Prediction of Coronavirus Disease (Covid-19) On X-Ray Images
24. Transfer Learning Based Convolutional Neural Network for Covid-19 Detection with X-Ray Images
25. Computational Modelling of the Pharmacological actions of some anti-viral agents against SARS-CoV-2
26. Mobile Technology Solutions for COVID-19: RSSI-based COVID-19 mobile app to comply with social distancing using bluetooth signals from smartphones
27. COVID-19 Pandemic in India: Forecasting Using Machine Learning Techniques
28. Mathematical Recipe for Curbing Corona Virus (Covid-19) Transmition Dynamics
29. Sliding Window Time Series Forecasting with Multi-Layer Perceptron and Multi Regression of COVID-19 outbreak in Malaysia
30. A Two-Level Deterministic Reasoning Pattern to Curb the Spread of Covid-19 in Africa
31. Data-driven approach to covid-19 infection forecast in Nigeria using negative binomial regression model
32. A Novel Machine Learning Based Detection and Diagnosis Model for Corona Virus Disease (Covid-19) using Discrete Wavelet Transform (DWT) with Rough Neural Network (RNN)
33. Artificial Intelligence Based Solutions for Early Identification and Classification of COVID-19 and Acute Respiratory Distress Syndrome
34. Internet of Medical Things (IoMT) with Machine Learning based COVID-19 Diagnosis Model using Chest X-Ray Images
35. The growth of COVID-19 in Spain. A view based on time-series forecasting methods
36. On Privacy Enhancement Using u-Indistinguishability to COVID19 Contact Tracing Approach in Korea
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

Subject Areas: Biomedical engineering [MQW]