COVID-19: prediction, screening, and decision-making

In this chapter, we mainly focus on the use of AI-driven tools for COVID-19 predictive modeling, screening, and decision-making. We first discuss prediction models, their merits, and pitfalls. We then review deep learning models for COVID-19 detection and/or screening (with experiments) by taking different dataset sizes into account, which is followed by a conclusive study on how big data is big. The chapter provides a journey of deep neural networks for lung abnormality screening, where we consider COVID-19 as a particular case.