Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model.

Teddy LazebnikZaher BahouthSvetlana Bunimovich-MendrazitskySarel Halachmi

Published in: BMC medical informatics and decision making (2022)

Our model predicts the occurrence of AKI following open PN with (75%) accuracy. We plan to externally validate this model and modify it to minimally-invasive PN.

Keyphrases

minimally invasive
acute kidney injury
machine learning
cardiac surgery
risk assessment
artificial intelligence
deep learning