Predicting the infecting dengue serotype from antibody titre data using machine learning
Bethan Cracknell Daniels, Darunee Buddhari, Taweewun Hunsawong, Sopon Iamsirithaworn, Aaron R. Farmer, Derek A. T. Cummings, Kathryn B. Anderson, Ilaria Dorigatti
This paper uses machine learning to predict dengue serotypes from antibody titre data, achieving 80.6% accuracy with spatiotemporal data.
PLoS Computational Biology · Dec 23, 2024Peer-reviewedImmunology