Abstract 11204: Intraoperative Vital Parameters Improve the Accuracy of Machine Learning Based Prediction Model for Perioperative Stroke in Patients With Non Cardiac Surgery
Abstract:Introduction:
Perioperative stroke is one of the most devastating events after surgery. To prevent perioperative stroke and stratify the patients at risk, several prediction models or scores based on the preoperative factors were suggested. However, there had been never reported a prediction model using intraoperative physiologic parameters.
Aim:
We aimed to develop a prediction model for perioperative stroke by analyzing pre- and intraoperative factors using machine learnin… Show more
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