Post-infection (a) and change (b) in log PRNT titres of the predicted infecting DENV serotype (y axis) and the true infecting DENV serotype (x axis) in cases that were misclassified by the gradient boosting machine model.

<p>N = the number of times a case was misclassified out of 100 bootstrap samples of the 10% test set. Predictor variables were pre- and post-infection PRNT titres against DENV-1-4 and JEV, change in PRNT titre and number of days between infection and measurement of pre- and post-infection titr...

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Bibliographic Details
Main Author:	Bethan Cracknell Daniels (20469396) (author)
Other Authors:	Darunee Buddhari (625855) (author), Taweewun Hunsawong (798675) (author), Sopon Iamsirithaworn (260152) (author), Aaron R. Farmer (8980880) (author), Derek A. T. Cummings (8748789) (author), Kathryn B. Anderson (6835166) (author), Ilaria Dorigatti (725102) (author)
Published:	2024
Subjects:	Medicine Microbiology Biotechnology Immunology Cancer Infectious Diseases Virology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified sample test sets sample test set predictor variables yielded na &# 239 multinomial logistic regression machine learning classifiers gold standard assay clinical trial endpoints 9 &# 8211 2 &# 8211 identified using rt 5 %) accuracy true infecting serotype interpreting prnt titres highest titre change infecting dengue serotype infecting serotype infection titres greatest change 2 %). measuring serotype identifying serotype xlink "> useful tools titre data thai children specific outcomes specific antibodies significant challenge results show reactive boosting provides immunity prospective cohort prnt data model performance infection titre infection history infection ). heterotypic antibodies efficacious vaccine ci 63 ci 57 antigenic seniority although 8
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Post-infection (a) and change (b) in log PRNT titres of the predicted infecting DENV serotype (y axis) and the true infecting DENV serotype (x axis) in cases that were misclassified by the gradient boosting machine model.

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