Data Science for COVID-19: Computational Perspectives

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. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virusIntegrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findingsProvides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions INDICE: ForewordPreface1. Predictive models to the COVID-192. An AI Based Decision Support and Resource Management System for COVID-19 Pandemic3. Normalizing Images is Good to Improve Computer-Assisted COVID-19 Diagnosis4. Detection and Screening of COVID-19 Through Chest CT Radiographs Using Deep Neural Networks5. Differential Evolution to improve the effectiveness of the epidemiological SEIR model enhanced with dynamic social distancing: the case of COVID-19 and Italy6. Limitations and Challenges on the Diagnosis of COVID-19 Using Radiology Images and Deep Learning7. Deep Convolutional Neural Network Based Image Classification for Covid-19 Diagnosis8. Statistical Machine Learning Forecasting Simulation for Discipline Prediction and Cost Estimation of COVID-19 Pandemic9. Application of Machine Learning for the Diagnosis of COVID-1910. PwCOV in Cluster Based Web Server: An Assessment of Service Oriented Computing for COVID-19 Disease Processing System11. COVID-19-affected Medical Image Analysis using Denser Net12. uTakeCare: unlock full decentralization of personal data for a respectful decontainment in the context of COVID-19: toward a digitally empowered anonymous citizenship13. COVID-19 Detection from Chest X-Rays Using Transfer Learning with Deep CNN14. Lexicon Based Sentiment Analysis Using Twitter Data: A Case of COVID-19 Outbreak in India and Abroad15. Real time social distancing alerting and contact tracing using image processing16. Machine Learning Models for Predicting Survivability in COVID-19 Patients17. Robust and Secured Telehealth System for COVID-19 Patients18. A Novel Approach to Predict COVID-19 Using Support Vector Machine19. An Ensemble Predictive Analytics of Covid-19 Infodemic Tweets Using Bag of Words20. Forecast & Prediction of Covid-19 Using Machine Learning21. Time Series Analysis of the COVID-19 Pandemic in Australia using Genetic Programming22. Image Analysis and Data Processing for COVID-1923. A Demystifying Convolutional Neural Networks using Gradcam for Prediction of Coronavirus Disease (Covid-19) On X-Ray Images24. Transfer Learning Based Convolutional Neural Network for Covid-19 Detection with X-Ray Images25. Computational Modelling of the Pharmacological actions of some anti-viral agents against SARS-CoV-226. Mobile Technology Solutions for COVID-19: RSSI-based COVID-19 mobile app to comply with social distancing using bluetooth signals from smartphones27. COVID-19 Pandemic in India: Forecasting Using Machine Learning Techniques28. Mathematical Recipe for Curbing Corona Virus (Covid-19) Transmition Dynamics29. Sliding Window Time Series Forecasting with Multi-Layer Perceptron and Multi Regression of COVID-19 outbreak in Malaysia30. A Two-Level Deterministic Reasoning Pattern to Curb the Spread of Covid-19 in Africa31. Data-driven approach to covid-19 infection forecast in Nigeria using negative binomial regression model32. 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 Syndrome34. Internet of Medical Things (IoMT) with Machine Learning based COVID-19 Diagnosis Model using Chest X-Ray Images35. The growth of COVID-19 in Spain. A view based on time-series forecasting methods36. On Privacy Enhancement Using u-Indistinguishability to COVID19 Contact Tracing Approach in Korea37. 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

• ISBN: 978-0-12-824536-1
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 638
• Fecha Publicación: 01/04/2021
• Nº Volúmenes: 1
• Idioma: Inglés