Deep Learning Models for Prediction of Intraoperative Hypotension Using Non-invasive Parameters

The investigators aimed to investigate the deep learning model to predict intraoperative hypotension using non-invasive monitoring parameters.

Inclusion Criteria:The patients who are included in the open database, VtialDB.The patients who underwent inhaled general anesthesia for non-cardiac surgery.The patients who have non-invasive monitoring data including blood pressure, electrocardiography, pulse oximetry, bispectral index, capnography, and minimum alveolar concentration of inhalation agent.Exclusion Criteria:The patient with missing data.