An 8-gene machine learning model improves clinical prediction of severe dengue progression.
Yiran E LiuSirle SaulAditya Manohar RaoMakeda Lucretia RobinsonOlga Lucia Agudelo RojasAna Maria SanzMichelle VergheseDaniel SolisMamdouh SibaiChun Hong HuangMalaya Kumar SahooRosa Margarita GelvezNathalia BuenoMaria Isabel Estupiñan CardenasLuis Angel Villar CentenoElsa Marina Rojas GarridoFernando RossoMichele DonatoBenjamin A PinskyShirit EinavPurvesh KhatriPublished in: Genome medicine (2022)
The 8-gene XGBoost model, trained on heterogeneous public datasets, accurately predicted progression to SD in a large, independent, prospective cohort, including during the early febrile stage when SD prediction remains clinically difficult. The model has potential to be translated to a point-of-care prognostic assay to reduce dengue morbidity and mortality without overwhelming limited healthcare resources.