Home > Medicine & Health Science textbooks > Nursing and ancillary services > Biomedical engineering > Data Science for COVID-19 Volume 1: Computational Perspectives
46%
Data Science for COVID-19 Volume 1: Computational Perspectives

Data Science for COVID-19 Volume 1: Computational Perspectives

          
5
4
3
2
1

Available


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Quantity:
Add to Wishlist

About the Book

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.

Table of Contents:
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


Best Sellers


Product Details
  • ISBN-13: 9780128245361
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 752
  • Spine Width: 45 mm
  • Weight: 1268 gr
  • ISBN-10: 0128245360
  • Publisher Date: 25 May 2021
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Computational Perspectives
  • Width: 191 mm


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
Data Science for COVID-19 Volume 1: Computational Perspectives
Elsevier Science Publishing Co Inc -
Data Science for COVID-19 Volume 1: Computational Perspectives
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Data Science for COVID-19 Volume 1: Computational Perspectives

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!
    ASK VIDYA