COVID-19 seroprevalence estimation and forecasting in the USA from ensemble machine learning models using a stacking strategy

Download PDF
Open Webpage

Gontzal Sagastabeitia, Josu Doncel, José Aguilar, Antonio Fernández Anta, Juan Marcos Ramirez

Published: 01 Jan 2024, Last Modified: 27 Sept 2024Expert Syst. Appl. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•COVID-19 seropositivity modelling in the USA.•Use of stacking and ensemble ML models.•Comparison of ML methods (linear regression, beta regression, genetic programming, neural network).•Trade-off between explainability and performance.