Computational modeling and data analysis in covid-19 research 9780367680367

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Название: Computational modeling and data analysis in covid-19 research
Перевод названия: Вычислительное моделирование и анализ данных в исследованиях Ковид-19
ISBN: 9780367680367
Издательство: Taylor&Francis
Классификация:

Биотехнологии

Техника автоматического регулирования

Здоровье и личностное развитие

ISBN-10: 036768036X
Обложка/Формат: Hardcover
Страницы: 256
Вес: 0.55 кг.
Дата издания: 17.05.2021
Серия: Emerging trends in biomedical technologies and health informatics
Язык: English
Иллюстрации: 22 tables, black and white; 68 line drawings, black and white; 30 halftones, black and white; 98 illustrations, black and white
Размер: 159 x 241 x 22
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз
Описание: This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book:Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19
Дополнительное описание: Chapter 1 Machine Learning Implementations in COVID-19 Chapter 2 Analysis of COVID-19 Data Using Consensus Clustering Technique Chapter 3 MoBMGAN: Modified GAN-Based Transfer Learning for Automatic Detection of COVID-19 Cases Using Chest X-ray Images Chap

Computational modeling and data analysis in covid-19 research,