A novel hybrid ensemble learning approach for the prediction of ventilator weaning success using a bagged LightGBM classifier

This study aims to develop the most accurate machine learning model to predict the success of ventilator weaning by classifying weaning trials and identifying the most influential predictive parameters. To classify weaning trials, a novel hybrid bagged light gradient boosting machine model (B-LGBM)...

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Bibliografske podrobnosti

Principais autores:	Perihan Yavuzcan Şahin, Pelin Görgel, Sinan Aşar, Emral Canan, Evren Şentürk, Zafer Çukurova, Nahit Çakar
Format:	Artigo
Jezik:	Inglês
Izdano:	Taylor & Francis Group 2026-12-01
Serija:	Automatika
Teme:	Intensive care units weaning from ventilator successful weaning mechanical ventilation machine learning ensemble learning
Online dostop:	https://www.tandfonline.com/doi/10.1080/00051144.2025.2602920
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