Development and external validation of multimodal postoperative acute kidney injury risk machine learning models.

George K KarwayJay L KoynerJohn CaskeyAlexandra B SpicerKyle A CareyEmily R GilbertDmitriy DligachAnoop MayampurathMajid AfsharMatthew M Churpek

Published in: JAMIA open (2023)

These findings highlight the predictive power of CUIs when merged with structured data for clinical prediction models, which may improve the detection of postoperative AKI.

Keyphrases

acute kidney injury
machine learning
patients undergoing
cardiac surgery
big data
electronic health record
artificial intelligence
pain management
deep learning
real time pcr