Novel Machine Learning Models to Predict Pneumonia Events in Supratentorial Intracerebral Hemorrhage Populations: An Analysis of the Risa-MIS-ICH Study
Abstract:Background: Stroke-associated pneumonia (SAP) contributes to high mortality rates in spontaneous intracerebral hemorrhage (sICH) populations. The accurate prediction and early intervention of SAP are associated with prognosis. Although various predictive scoring systems have been previously developed, none are widely accepted. We aimed to derive and validate novel supervised machine learning (ML) models to predict SAP events in supratentorial sICH populations.Methods: In this work, the data of eligible suprate… Show more
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