Using a simple open-source automated machine learning algorithm to forecast COVID-19 spread: A modelling study.
Journal:
Advances in respiratory medicine
PMID:
33169811
Abstract
INTRODUCTION: Machine learning algorithms have been used to develop prediction models in various infectious and non-infectious settings including interpretation of images in predicting the outcome of diseases. We demonstrate the application of one such simple automated machine learning algorithm to a dataset obtained about COVID-19 spread in South Korea to better understand the disease dynamics.