Representation learning in intraoperative vital signs for heart failure risk prediction.

Published in: BMC medical informatics and decision making (2019)

The experimental results demonstrate that representation learning model of vital signs monitoring data of intraoperative patients can effectively capture the physiological characteristics of postoperative heart failure.

Keyphrases

heart failure
end stage renal disease
patients undergoing
ejection fraction
newly diagnosed
chronic kidney disease
left ventricular
prognostic factors
peritoneal dialysis
cardiac resynchronization therapy
electronic health record
patient reported outcomes
artificial intelligence