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Prediction of post-tracheostomy mortality
This retrospective study analyzes patients undergoing bedside percutaneous tracheostomy in two Argentine hospitals.
Using a Random Forest model, a predictive model was developed to estimate the probability of mortality within 21 days after the procedure.
Integration of this model into digital clinical support systems could improve medical decision-making and optimize outcomes in patients undergoing tracheostomy .
Investigador principal:
Marcos Las Heras
2
Centros Hospitalarios con Comité de Ética aprobado
Estado del proyecto:
Statistical analysis
Reclutamiento de investigadores asociados cerrado
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