A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records

A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records

Abstract Background Previous models for predicting delirium after cardiac surgery remained inadequate. This study aimed to develop and validate a machine learning-based prediction model for postoperative delirium (POD) in cardiac valve surgery patients. Methods The electronic medical information of...

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Bibliographic Details
Main Authors: Qiuying Li, Jiaxin Li, Jiansong Chen, Xu Zhao, Jian Zhuang, Guoping Zhong, Yamin Song, Liming Lei
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Cardiovascular Disorders
Subjects:
Prediction model
Postoperative delirium
Random Forest Classifier
Machine learning
Cardiac valve surgery
Online Access:https://doi.org/10.1186/s12872-024-03723-3

Internet

https://doi.org/10.1186/s12872-024-03723-3

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