Deep recurrent neural networks for predicting intraoperative and postoperative outcomes and trends


Intraoperative vital signals convey a wealth of complex temporal information that can provide significant insights into a patient's physiological status during the surgery, as well as outcomes after the surgery. Our study involves the use of a deep recurrent neural network architecture to predict patient's outcomes after the surgery, as well as to predict… (More)
DOI: 10.1109/BHI.2017.7897280


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