Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 (eBook)

Mohamed Abdel-Basset, Victor Chang, Nicolas Green, Muthu Ramachandran, Gary Wills (Herausgeber)

eBook Download: PDF | EPUB

2022 | 1. Auflage
298 Seiten
Elsevier Science (Verlag)
978-0-323-90378-3 (ISBN)

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. - Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread - Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people's data once their information has been used to fight the pandemic - Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. - Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread- Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people's data once their information has been used to fight the pandemic- Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak

Erscheint lt. Verlag	5.4.2022
Sprache	englisch
Themenwelt	Medizin / Pharmazie ► Allgemeines / Lexika
	Medizin / Pharmazie ► Studium ► 1. Studienabschnitt (Vorklinik)
	Studium ► Querschnittsbereiche ► Prävention / Gesundheitsförderung
	Technik ► Umwelttechnik / Biotechnologie
	Wirtschaft
ISBN-10	0-323-90378-9 / 0323903789
ISBN-13	978-0-323-90378-3 / 9780323903783

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