Development and validation of a machine learning model for real-time prediction of invasive mechanical ventilation weaning readiness
Summary: “Development and validation of a machine learning model for real-time prediction of invasive mechanical ventilation weaning readiness” Abstract Summary: This study aimed to develop and validate a real-time bedside machine learning (ML) decision support tool to predict invasive mechanical ventilation (IMV) weaning readiness using electronic health records. Leveraging extensive data from the MIMIC-IV and […]