Zachary Terner

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Patients undergoing surgery can experience a range of adverse events, such as renal and cardiac injury, respiratory failure, and death. This study focuses on discovering relationships between perioperative physiological data and adverse post-surgical outcomes, with the goal of developing strategies to reduce the severity and frequency of these conditions.(More)
Patients anesthetized during surgery can experience post-surgical adverse outcomes, such as kidney injury or death. In this study, we examine time series forecasts and volatility measures of perioperative physiologic data in an effort to predict these adverse outcomes. We build upon random forest models from a previous study and evaluate them based on their(More)
A variety of adverse outcomes, such as kidney injury, death, cardiac injury, and respiratory failure affect a significant number of patients after surgery. Previous research has investigated possible predictors for these outcomes including features extracted from physiologic time series. This study builds upon this previous work by exploring entropy,(More)
A variety of adverse outcomes, such as kidney injury, death, cardiac injury, and respiratory failure affect a significant number of patients after surgery. Previous research has investigated possible predictors for these outcomes, including features extracted from physiologic time series, change points in the time series, and prior conditions. This study(More)
Modern surgical procedures have saved lives; however, the occurrence of post-surgical complications is still a concern. This study investigates the relationships between patients' surgical data and the post-surgical adverse outcomes of death, cardiac injury, renal injury, and respiratory failure. We analyze these relationships through the statistical(More)
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