Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model.
Journal:
BMC medical informatics and decision making
Published Date:
May 16, 2022
Abstract
BACKGROUND: One of the most prevalent complications of Partial Nephrectomy (PN) is Acute Kidney Injury (AKI), which could have a negative impact on subsequent renal function and occurs in up to 24.3% of patients undergoing PN. The aim of this study was to predict the occurrence of AKI following PN using preoperative parameters by applying machine learning algorithms.