Algorithm of model development and validation.

<p>For each scenario and each classifier (1), the data were randomly split into 90% train and 10% test sets (2). The train data were pre-processed and the model hyperparameters were tuned using leave-one-out-cross-validation (3–4). Performance on the train data was calculated (5) and the set o...

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المؤلف الرئيسي:	Bethan Cracknell Daniels (20469396) (author)
مؤلفون آخرون:	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)
منشور في:	2024
الموضوعات:	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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Algorithm of model development and validation.

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