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1 - Predictive models to the COVID-19
Francisco Nauber Bernardo Gois, Alex Lima, ... João Alexandre Lôbo Marques
Pages 1-24 - Book chapterAbstract only
2 - An artificial intelligence–based decision support and resource management system for COVID-19 pandemic
Enis Karaarslan and Doğan Aydın
Pages 25-49 - Book chapterAbstract only
3 - Normalizing images is good to improve computer-assisted COVID-19 diagnosis
Claudio Filipi Gonçalves dos Santos, Leandro Aparecido Passos, ... João Paulo Papa
Pages 51-62 - Book chapterAbstract only
4 - Detection and screening of COVID-19 through chest computed tomography radiographs using deep neural networks.
Khushboo Munir, Hassan Elahi, ... Antonello Rizzi
Pages 63-73 - Book chapterAbstract only
5 - Differential evolution to estimate the parameters of a SEIAR model with dynamic social distancing: the case of COVID-19 in Italy
I. De Falco, A. Della Cioppa, ... E. Tarantino
Pages 75-90 - Book chapterAbstract only
6 - Limitations and challenges on the diagnosis of COVID-19 using radiology images and deep learning
Merve Ayyuce Kızrak, Zümrüt Müftüoğlu and Tülay Yıldırım
Pages 91-115 - Book chapterAbstract only
7 - Deep convolutional neural network–based image classification for COVID-19 diagnosis
R.M. Tharsanee, R.S. Soundariya, ... S. Sountharrajan
Pages 117-145 - Book chapterAbstract only
8 - Statistical machine learning forecasting simulation for discipline prediction and cost estimation of COVID-19 pandemic
Papri Ghosh and Ritam Dutta
Pages 147-173 - Book chapterAbstract only
9 - Application of machine learning for the diagnosis of COVID-19
Prajoy Podder, Subrato Bharati, ... Utku Kose
Pages 175-194 - Book chapterAbstract only
10 - PwCOV in cluster-based web server: an assessment of service-oriented computing for COVID-19 disease processing system
Abhijit Bora and Tulshi Bezboruah
Pages 195-212 - Book chapterAbstract only
11 - COVID-19–affected medical image analysis using DenserNet
Chandranath Adak, Debmitra Ghosh, ... Soumi Chattopadhyay
Pages 213-230 - Book chapterAbstract only
12 - uTakeCare: unlock full decentralization of personal data for a respectful decontainment in the context of COVID-19: toward a digitally empowered anonymous citizenship
Lamine Amour, Matthieu Quiniou, ... Sami Souihi
Pages 231-253 - Book chapterAbstract only
13 - COVID-19 detection from chest X-rays using transfer learning with deep convolutional neural networks
Prasitthichai Naronglerdrit, Iosif Mporas and Akbar Sheikh-Akbari
Pages 255-273 - Book chapterAbstract only
14 - Lexicon-based sentiment analysis using Twitter data: a case of COVID-19 outbreak in India and abroad
H.S. Hota, Dinesh K. Sharma and Nilesh Verma
Pages 275-295 - Book chapterAbstract only
15 - Real-time social distance alerting and contact tracing using image processing
Balaji Muthazhagan, Aparnasri Panchapakesan and Suriya Sundaramoorthy
Pages 297-315 - Book chapterAbstract only
16 - Machine-learning models for predicting survivability in COVID-19 patients
Ijegwa David Acheme and Olufunke Rebecca Vincent
Pages 317-336 - Book chapterAbstract only
17 - Robust and secured telehealth system for COVID-19 patients
Waheed Ullah, Abid Yahya, ... Taolo Tlale
Pages 337-349 - Book chapterAbstract only
18 - A novel approach to predict COVID-19 using support vector machine
Soham Guhathakurata, Souvik Kundu, ... Jyoti Sekhar Banerjee
Pages 351-364 - Book chapterAbstract only
19 - An ensemble predictive analytics of COVID-19 infodemic tweets using bag of words
T.O. Olaleye, O.T. Arogundade, ... A.K. Adesemowo
Pages 365-380 - Book chapterAbstract only
20 - Forecast and prediction of COVID-19 using machine learning
Deepak Painuli, Divya Mishra, ... Mayank Aggarwal
Pages 381-397 - Book chapterAbstract only
21 - Time series analysis of the COVID-19 pandemic in Australia using genetic programming
Rohit Salgotra and Amir H. Gandomi
Pages 399-411 - Book chapterAbstract only
22 - Image analysis and data processing for COVID-19
Ambeshwar Kumar, R. Manikandan, ... Deepak Gupta
Pages 413-427 - Book chapterAbstract only
23 - A demystifying convolutional neural networks using Grad-CAM for prediction of coronavirus disease (COVID-19) on X-ray images
C.V. Aravinda, Meng Lin, ... G. Amar Prabhu
Pages 429-450 - Book chapterAbstract only
24 - Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images
Kevser Sahinbas and Ferhat Ozgur Catak
Pages 451-466 - Book chapterAbstract only
25 - Computational modeling of the pharmacological actions of some antiviral agents against SARS-CoV-2
Abayomi Emmanuel Adegboyega, Titilayo Omolara Johnson and Simeon Omale
Pages 467-482 - Book chapterAbstract only
26 - Received signal strength indication—based COVID-19 mobile application to comply with social distancing using bluetooth signals from smartphones
Alvaro Aspilcueta Narvaez and Jorge Guerra Guerra
Pages 483-501 - Book chapterAbstract only
27 - COVID-19 pandemic in India: Forecasting using machine learning techniques
H.S. Hota, Richa Handa and A.K. Shrivas
Pages 503-525 - Book chapterAbstract only
28 - Mathematical recipe for curbing coronavirus (COVID-19) transmition dynamics
Emmanuel Bala Gudu, Daniel Dauda Wisdom, ... Ebenezer Ajayi Akinyemi
Pages 527-545 - Book chapterAbstract only
29 - Sliding window time series forecasting with multilayer perceptron and multiregression of COVID-19 outbreak in Malaysia
Norita Md Norwawi
Pages 547-564 - Book chapterAbstract only
30 - A two-level deterministic reasoning pattern to curb the spread of COVID-19 in Africa
Olumide Mohammed Lawal and Olufunke Rebecca Vincent
Pages 565-581 - Book chapterAbstract only
31 - Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model
Chollette C. Olisah, Olusoji O. Ilori, ... Victor T. Odumuyiwa
Pages 583-596 - Book chapterAbstract only
32 - A novel machine learning–based detection and diagnosis model for coronavirus disease (COVID-19) using discrete wavelet transform with rough neural network
Irina Valeryevna Pustokhina, Denis Alexandrovich Pustokhin and K. Shankar
Pages 597-612 - Book chapterAbstract only
33 - Artificial intelligence–based solutions for early identification and classification of COVID-19 and acute respiratory distress syndrome
Sujathakrishamoorthy, Surapaneni Krishna Mohan, ... M. Lorate Shiny
Pages 613-626 - Book chapterAbstract only
34 - Internet of Medical Things (IoMT) with machine learning–based COVID-19 diagnosis model using chest X-ray images
S. Sheeba Rani, S. Selvakumar, ... E. Dhiravida Chelvi
Pages 627-641 - Book chapterAbstract only
35 - The growth of COVID-19 in Spain. A view based on time-series forecasting methods
Andrés Carrión-García, José Jabaloyes and Angela Grisales
Pages 643-660 - Book chapterAbstract only
36 - On privacy enhancement using u-indistinguishability to COVID-19 contact tracing approach in Korea
Hyoung Joong Kim, Suah Kim and Sungho Lee
Pages 661-673 - Book chapterAbstract only
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
Said Ali Hassan, Prachi Agrawal, ... Ali Wagdy Mohamed
Pages 675-698 - Book chapterNo access
Index
Pages 699-717
About the book
Description
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.
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.
Key Features
- Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus
- Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings
- Provides 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
- Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus
- Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings
- Provides 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
Details
ISBN
978-0-12-824536-1
Language
English
Published
2021
Copyright
Copyright © 2021 Elsevier Inc. All rights reserved.
Imprint
Academic Press