Using Machine Learning Algorithms to Predict High-Risk Factors for Postoperative Delirium in Elderly Patients.

Yuan LiuWei ShenZhiqiang Tian

Published in: Clinical interventions in aging (2023)

The prediction model of POD derived from the machine learning algorithm in this study has high prediction accuracy and clinical utility, which is beneficial for clinicians to diagnose and treat patients in a timely manner.

Keyphrases

machine learning
end stage renal disease
deep learning
ejection fraction
newly diagnosed
chronic kidney disease
artificial intelligence
prognostic factors
big data
patients undergoing
acute kidney injury