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Data Science for COVID-19 Volume 1: Computational Perspectives de Utku Kose

Data Science for COVID-19 Volume 1: Computational Perspectives

Editat de Utku Kose, Deepak Gupta, Victor Hugo Costa de Albuquerque, Ashish Khanna
en Limba Engleză Paperback – 25 mai 2021
Data Science for COVID-19presents the most current and leading-edge research into the applications of a variety of data science techniques to the detection, mitigation, treatment, and elimination of the COVID-19 virus around the world. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes. Data Science for COVID-19begins with an introduction to Data Science for COVID-19 research, considering past and potential future pandemics, as well as related Coronavirus variations. Readers will then learn about a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, and mobile technology and telemedicine solutions for remote treatment of the virus. The book then proceeds to provide insights into Artificial Intelligence-based solutions, innovative treatment methods, and public safety for COVID-19. Finally, readers will learn about applications of Big Data and new data models for understanding and mitigating the virus.

  • Provides a leading-edge survey of Data Science techniques and methods for research, mitigation, and treatment of the COVID-19 virus
  • Integrates the 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 insight into innovative data-oriented modeling and predictive techniques from COVID-19 researchers around the world
  • Includes real-world feedback and user experiences from physicians and medical staff from around the world for the effectiveness of applied Data Science solutions
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Specificații

ISBN-13: 9780128245361
ISBN-10: 0128245360
Pagini: 752
Dimensiuni: 191 x 235 x 45 mm
Greutate: 1.27 kg
Editura: ELSEVIER SCIENCE

Public țintă

Academics (scientists, researchers, MSc. PhD. students) from the fields of Computer Science and Engineering, Biomedical Engineering, Biology, Chemistry, Electronics and Communication Engineering, and Information Technology. The audience also includes interested professionals-experts from both public and private industries of medical, computer, data science, information technologies The book may be used in Data Science, Medical, Biomedical, Artificial Intelligence, Machine Learning, Deep Learning, and even Data (i.e. Image, Signal) Processing oriented courses given at especially Health, Biology, Biomedical Engineering or similar programs of universities, institutions.

Cuprins

1. Introduction to Data Science for COVID-1
2. Image Analysis and Data Processing for COVID-19
3. Geoprocessing / Tracking for COVID-19
4. Predictive Systems for COVID-19
5. Design Cognition and Computing for COVID-19
6. Mobile Technology Solutions for COVID-19
7. Artificial Intelligence Based Solutions for COVID-19
8. Treatment for COVID-19 with Cognitive Data Science
9. Public Safety for COVID-19
10. IoHT for COVID-19
11. Big Data for COVID-19
12. New Data Models for COVID-19

Descriere

Data Science for COVID-19 presents the most current and leading-edge research into the applications of a variety of data science techniques to the detection, mitigation, treatment, and elimination of the COVID-19 virus around the world. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes.  Data Science for COVID-19 begins with an introduction to Data Science for COVID-19 research, considering past and potential future pandemics, as well as related Coronavirus variations. Readers will then learn about a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, and mobile technology and telemedicine solutions for remote treatment of the virus. The book then proceeds to provide insights into Artificial Intelligence-based solutions, innovative treatment methods, and public safety for COVID-19. Finally, readers will learn about applications of Big Data and new data models for understanding and mitigating the virus.

 

 

  • Provides a leading-edge survey of Data Science techniques and methods for research, mitigation, and treatment of the COVID-19 virus
  • Integrates the 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 insight into innovative data-oriented modeling and predictive techniques from COVID-19 researchers around the world
  • Includes real-world feedback and user experiences from physicians and medical staff from around the world for the effectiveness of applied Data Science solutions