eBook, ePUB

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

Beschreibung

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

Technische Details

• Geräte: eReader
• ohne Kopierschutz
• Größe: 18.62MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• E-Mail eines vertrauenswürdigen Mittlers für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Mathematische Inhalte in MathML für assistive Technologien
• Text und Medien in logischer Lesereihenfolge angeordnet
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien
• Keine Einschränkung der Vorlesefunktionen, außer bei spezifischen Ausnahmen

Autor

Victor Chang, PhD, is a Professor of Business Analytics at the Department of Operations and Information Management, Aston Business School, Aston University, UK. He will be involved in leading a New Research Centre. He has been a Full Professor of Data Science and Information Systems and Research Group leader at Teesside University. He was previously a Senior Associate Professor, Director of PhD and Director of MRes at International Business School Suzhou (IBSS), Xi'an Jiaotong-Liverpool University, China. He was also a very active and contributing key member at Research Institute of Big Data Analytics, XJTLU, and an Honorary Associate Professor at University of Liverpool. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He is Editor-in-Chief of IJOCI & OJBD journals, Associate Editor of IEEE TII, Information Fusion, and JGIM, Scientific Report, IJBSR and IDD journals. He is a founding and Conference Chair of IoTBDS, COMPLEXIS, FEMIB and IIoTBDSC

conferences. He authored 5 books and edited 2 and is widely regarded as one of the most active and influential young scientist and expert in IoT/Data Science/Cloud/security/AI/IS, as he has experience to develop 10 different services for multiple disciplines.

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 298
• Erscheinungstermin: 5. April 2022
• Englisch
• ISBN-13: 9780323903783
• Artikelnr.: 63715346