Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology

Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on models employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, as well as, the panoramic of COVID-19 since its discovery up to the book publication. This book showcases the algorithms and models available to manage pandemic data. Healthcare delivery requires the collective competence of Artificial Intelligence (AI), Internet of Things (IoT), Epidemiology, Emotional Health and Machine Learning to fight and look ahead the given health emergency. This book reviews the role of AI, IoT, and Mathematical Modelling as a conclusive know-how to analyze, prevent and fight COVID-19; while considering the existing medical, social and pharmaceutical support as a combined approach in bringing the various expertise under a single title. Methods and protocols are discussed throughout the book, especially in chapter 2 and chapter 3. The first chapter discusses the basics and history of the diseases, highlighting the details on coronavirus thoroughly for giving an insight to the general audience about the disease outbreak. The second chapter aims to investigate the fast diagnosis of the disease with different automated algorithms and artificial intelligence tools and techniques used to demystify the disease. The third chapter discuss the methods of handling epidemiology for mitigating the spread of the disease, artificial intelligence and mathematical modelling techniques will be employed in this chapter. The fourth chapter explains how mental and physical health is affected with the relationship with social media usage. The emotional intelligence and preventive measures will be discussed in the EQ computational model. The next chapter discusses technology and IOT in the context of nCov-17. The last chapter concludes the datasets, survey of ongoing research and the crosscut challenges in the field. Explains novel and hybrid high quality artificial intelligence methodologies, techniques, algorithms, architectures, tools and methods to cope with pandemicsCovers rapid point-of-care diagnostics, presents details on varied mathematical models developed to control epidemiology, and lists existing measures to disseminate the spread of infection using computational methodsHighlights the negative effect of social media and other sources by applying preventive measures to combat the state of depression and anxiety among community INDICE: 1. A Case of 2019-nCoV Novel Coronavirus Outbreak 2. Diagnostic tools and support systems for COVID-19 3. Epidemiology 4. Emotional Health and Social Media Vs Sentiment Analysis 5. Technology 6. Conclusions

• ISBN: 978-0-323-90959-4
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 200
• Fecha Publicación: 01/05/2021
• Nº Volúmenes: 1
• Idioma: Inglés