Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.

Miguel MarcosMoncef Belhassen-GarcíaAntonio Sánchez-PuenteJesús Sampedro-GomezRaúl AzibeiroPedro-Ignacio Dorado-DíazEdgar Marcano-MillánCarolina García-VidalMaría-Teresa Moreiro-BarrosoNoelia Cubino-BóvedaMaría-Luisa Pérez-GarcíaBeatriz Rodríguez-AlonsoDaniel Encinas-SánchezSonia Peña-BalbuenaEduardo Sobejano-FuertesSandra InésCristina CarbonellMiriam López-ParraFernanda Andrade-MeiraAmparo López-BernúsCatalina LorenzoAdela CarpioDavid Polo-San-RicardoMiguel-Vicente Sánchez-HernándezRafael BorrásVíctor Sagredo-MenesesPedro-Luis SanchezAlex SorianoJosé Ángel Martín-Oterino

Published in: PloS one (2021)

This machine-learning model, applied at hospital admission, predicts risk of severe disease progression in Covid-19 patients.

Keyphrases

machine learning
sars cov
artificial intelligence
deep learning
big data
emergency department
healthcare
early onset
drug induced