Development and internal validation of a predictive model of cognitive decline 36 months following elective surgery

Development and internal validation of a predictive model of cognitive decline 36 months following elective surgery

Abstract Introduction Our goal was to determine if features of surgical patients, easily obtained from the medical chart or brief interview, could be used to predict those likely to experience more rapid cognitive decline following surgery. Methods We analyzed data from an observational study of 560...

Full description

Bibliographic Details
Main Authors: Richard N. Jones, Douglas Tommet, Jon Steingrimsson, Annie M. Racine, Tamara G. Fong, Yun Gou, Tammy T. Hshieh, Eran D. Metzger, Eva M. Schmitt, Patricia A. Tabloski, Thomas G. Travison, Sarinnapha M. Vasunilashorn, Ayesha Abdeen, Brandon Earp, Lisa Kunze, Jeffrey Lange, Kamen Vlassakov, Bradford C. Dickerson, Edward R. Marcantonio, Sharon K. Inouye
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
cognitive decline
delirium
machine learning
model prediction
post‐operative
statistical learning
Online Access:https://doi.org/10.1002/dad2.12201

Internet

https://doi.org/10.1002/dad2.12201

Similar Items