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Early prediction of non-invasive ventilation outcome using the TabPFN machine learning model: a multi-centre validation study

Hang Yu, Sina Saffaran, Israel Silva Maia, Enrico Clini, Declan G. Bates, the NIVPredict study group, Liam Weaver, Roberto Tonelli, Luca S. Menga, A Gemelli, Qingchen Zhang, Moein Einollahzadeh Samadi, Andreas Schuppert, John G Laffey, Luigi Camporota, Timothy E Scott, Abdisamad Ali, Antonio M Esquinas, Domenico L Grieco, Massimo Antonelli, Lucas Martins de Lima, Letícia Kawano-Dourado, Alexandre Biasi Cavalcanti

2025Intensive Care Medicine6 citationsDOI

Topics & Concepts

MedicineAnesthesiologyPain medicineOutcome (game theory)Ventilation (architecture)Mechanical ventilationIntensive care medicineEmergency medicineMedical physicsAnesthesiaEngineeringMathematical economicsMechanical engineeringMathematicsRespiratory Support and MechanismsChronic Obstructive Pulmonary Disease (COPD) ResearchSepsis Diagnosis and Treatment
Early prediction of non-invasive ventilation outcome using the TabPFN machine learning model: a multi-centre validation study | Litcius