Leveraging Artificial Intelligence in Global Epidemics
Editat de Le Gruenwald, Sarika Jain, Sven Groppeen Limba Engleză Paperback – 30 iul 2021
- Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies
- Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data
- Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing
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Specificații
ISBN-13: 9780323897778
ISBN-10: 0323897770
Pagini: 316
Dimensiuni: 191 x 235 mm
Greutate: 0.55 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323897770
Pagini: 316
Dimensiuni: 191 x 235 mm
Greutate: 0.55 kg
Editura: ELSEVIER SCIENCE
Cuprins
1. An overview of global epidemics and the challenges faced 2. Leveraging artificial intelligence and digital tech to help citizens, societies, and economies survive and strive during pandemics 3. Towards an alternative to lockdown: Pandemic management leveraging digital technologies and artificial intelligence 4. Exploratory study of existing approaches for analyzing epidemics 5. A data science perspective of real-world COVID-19 databases 6. Preparing with predictions: forecasting epidemics with artificial intelligence 7. The worldwide methods of artificial intelligence for detection and diagnosis of COVID-19 8. The role of AI in digital contact tracing 9. Covid-19 accelerating the dynamics of Artificial Intelligence disruption 10. Use of artificial intelligence in pharmacovigilance for social media network 11. System-level knowledge representation for artificial intelligence during pandemics