COVID-19 and the Futures of Machine Learning (original) (raw)

The paper explores the evolving role of machine learning and artificial intelligence in the context of big data and the COVID-19 pandemic. It highlights the shift from merely having access to large datasets to understanding and utilizing this information effectively in healthcare and ecological domains. The need for robust metadata and intelligent algorithms is emphasized for the efficient response to current and future health challenges. Furthermore, it asserts that machine learning can improve prognostic models and reduce diagnostic errors in healthcare settings.