Comprehensive risk factor evaluation of postoperative delirium following major surgery: clinical data warehouse analysis.

Suk-Yun KangSang Won SeoJoo Yong Kim

Published in: Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology (2019)

Big data analytics could be applied to evaluate RFs in electronic medical records. We identified common RFs of POD, regardless of operation type. Big data analytics may be helpful for the comprehensive understanding of POD RFs, which can help physicians develop a general plan to prevent POD.

Keyphrases

big data
artificial intelligence
machine learning
minimally invasive
risk factors
primary care
patients undergoing
coronary artery bypass
deep learning
surgical site infection
percutaneous coronary intervention