Can a supervised explainable machine learning model predict perioperative neurocognitive disorder in liver-transplantation patients?
A machine learning model was developed to predict perioperative neurocognitive disorder in liver transplant patients, potentially aiding in early risk stratification.
A real-time logistic regression model-based online predictor of post-LT PND was developed, providing a highly interoperable tool for use across medical institutions to support early risk stratification and decision making for the LT recipients.
Ding et al. (Wed,) studied this question.