Big Data Analytics And Artificial Intelligence Against Covid 19 Innovation Vision And Approach
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Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
Author: Aboul-Ella Hassanien
language: en
Publisher: Springer Nature
Release Date: 2020-10-12
This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.
Data-Driven Approach for Bio-medical and Healthcare
The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.
Health Technologies and Informatics
Author: Charles Oluwaseun Adetunji
language: en
Publisher: CRC Press
Release Date: 2024-12-16
Health Technologies and Informatics: Research and Developments provides a comprehensive overview of mobile health applications, biodata management and analytics, medical imaging, personalized and public health systems, and biosignal processing. With a focus on medical informatics, which has been identified as a necessity relating to health challenges relevant to the current pandemic, this book highlights engineering applications and methodologies involved in data evaluations. Detailed information is provided on diseases which could be monitored and necessary intervention for the treatment of these diseases or medical conditions. Features: Provides recent advances on research and developments in the field of biomedical and health informatics Introduces topics such as mobile messaging, objectified information exchange, SmartCare, IoT-driven healthcare, cybersecurity issues, AI-enhanced healthcare, and so forth Covers novel engineering applications and methodologies involved in the pertinent data evaluations Includes dedicated chapters on machine learning in management and mitigation of COVID-19 Explores the role of extended reality in health care including virtual, augmented, and mixed reality This book is aimed at researchers and graduate students in biomedical and computer engineering.