Novel machine learning models to predict pneumonia events in supratentorial intracerebral hemorrhage populations: An analysis of the study.

Background: Stroke-associated pneumonia (SAP) contributes to high mortality rates in spontaneous intracerebral hemorrhage (sICH) populations. Accurate prediction and early intervention of SAP are associated with prognosis. None of the previously developed predictive scoring systems are widely accepted.