Forecasting COVID-19 cases at the Amazon region: a comparison of classical and machine learning models

BACKGROUND – Since the first reports of COVID-19, decision-makers have been using traditional epidemiological models to predict the days to come. However, the enhancement of computational power, the demand for adaptable predictive frameworks, the short past of the disease, and uncertainties related to input data and prediction rules, also make other classical and machine learning techniques…

Read the full article here

Source: bioRxiv
Categories: General Medicine Journals and Societies, Latest Headlines
Tags:
Tweets with this article
bioRxiv
Forecasting COVID-19 cases at the Amazon region: a comparison of classical and machine learning models https://t.co/e8j51CwuzC #bioRxiv

Related Articles