Novel AI and data science advancements for sustainability in the era of COVID-19:
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...
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| Other Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London
Academic Press
2022
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| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9780323903783/?ar |
| Summary: | 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. |
| Item Description: | Print version record |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9780323903783 0323903789 |
Staff View
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| spelling | Novel AI and data science advancements for sustainability in the era of COVID-19 edited by Victor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green, Gary Wills London Academic Press 2022 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Print version record 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. Artificial intelligence COVID-19 Pandemic, 2020- Data processing Big data Artificial Intelligence COVID-19 Pandemic ; (2020-) (OCoLC)fst02024716 Since 2020 Intelligence artificielle Pandémie de COVID-19, 2020- ; Informatique Données volumineuses artificial intelligence Electronic data processing Chang, Victor MitwirkendeR ctb Abdel-Basset, Mohamed MitwirkendeR ctb Ramachandran, Muthu MitwirkendeR ctb Green, Nicolas MitwirkendeR ctb Wills, Gary MitwirkendeR ctb 0323900542 Erscheint auch als Druck-Ausgabe 0323900542 |
| spellingShingle | Novel AI and data science advancements for sustainability in the era of COVID-19 Artificial intelligence COVID-19 Pandemic, 2020- Data processing Big data Artificial Intelligence COVID-19 Pandemic ; (2020-) (OCoLC)fst02024716 Since 2020 Intelligence artificielle Pandémie de COVID-19, 2020- ; Informatique Données volumineuses artificial intelligence Electronic data processing |
| subject_GND | (OCoLC)fst02024716 |
| title | Novel AI and data science advancements for sustainability in the era of COVID-19 |
| title_auth | Novel AI and data science advancements for sustainability in the era of COVID-19 |
| title_exact_search | Novel AI and data science advancements for sustainability in the era of COVID-19 |
| title_full | Novel AI and data science advancements for sustainability in the era of COVID-19 edited by Victor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green, Gary Wills |
| title_fullStr | Novel AI and data science advancements for sustainability in the era of COVID-19 edited by Victor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green, Gary Wills |
| title_full_unstemmed | Novel AI and data science advancements for sustainability in the era of COVID-19 edited by Victor Chang, Mohamed Abdel-Basset, Muthu Ramachandran, Nicolas Green, Gary Wills |
| title_short | Novel AI and data science advancements for sustainability in the era of COVID-19 |
| title_sort | novel ai and data science advancements for sustainability in the era of covid 19 |
| topic | Artificial intelligence COVID-19 Pandemic, 2020- Data processing Big data Artificial Intelligence COVID-19 Pandemic ; (2020-) (OCoLC)fst02024716 Since 2020 Intelligence artificielle Pandémie de COVID-19, 2020- ; Informatique Données volumineuses artificial intelligence Electronic data processing |
| topic_facet | Artificial intelligence COVID-19 Pandemic, 2020- Data processing Big data Artificial Intelligence COVID-19 Pandemic ; (2020-) Since 2020 Intelligence artificielle Pandémie de COVID-19, 2020- ; Informatique Données volumineuses artificial intelligence Electronic data processing |
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