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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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