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Data science advancements in pandemic and outbreak management / [electronic resource]
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Asimakopoulou, Eleana, 1976-, editor. Bessis, Nik, 1967-, editor. |
| 서명/저자사항 | Data science advancements in pandemic and outbreak management /Eleana Asimakopoulou, Nik Bessis.[electronic resource] |
| 형태사항 | 1 online resource (xix, 255 pages) : color illustrations. |
| 총서사항 | Advances in data mining and database management (ADMDM) book series |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 9781799867388 1799867382 9781799867395 1799867390 |
| 기타표준부호 | 10.4018/978-1-7998-6736-4doi |
| 일반주기 |
"Premier Reference Source" -- taken from front cover.
|
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Section 1. Overview of technologies for pandemic management. Chapter 1. A review of technologies in emergency medicine and sophisticated collective decision-making in the era of the fight against the pandemic ; Chapter 2. Overview of IoT and machine learning for e-healthcare in pandemics and health crises ; Chapter 3. Data analytics epidemic modelling and human dynamics approaches for pandemic outbreak -- Section 2. Data science practices in pandemic management. Chapter 4. The importance of big data metadata in crisis management ; Chapter 5. Pandemic management with social media analytics ; Chapter 6. Deep learning approaches in pandemic and disaster management ; Chapter 7. Information extraction from social media for epidemic models ; Chapter 8. Towards combating pandemic-related misinformation in social media -- Section 3. Technology-driven challenges and implications in pandemic management. Chapter 9. Ensuring food supply and security during localised lockdowns: an information and technology-based approach ; Chapter 10. Privacy-preserving pandemic monitoring ; Chapter 11. Strategies for upskilling in data science after the COVID 19 pandemic. |
| 요약 | "This book demonstrates how strategies and state-of-the-art information technologies have and/or could be applied to serve as the vehicle to advance pandemic and outbreak management including revisiting and critically reviewing past and current approaches, identifying good and bad practices and further developing adaptation for future pandemics and outbreaks"-- |
| 일반주제명 | Epidemiology. Emergency management -- Information technology. Epidemiology. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Data science advancements in pandemic and outbreak managementHershey, PA : Engineering Science Reference, [2021]9781799867364 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2898561 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00021246 | 614.40285 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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