Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database

database[Title] 2025-05-11

Summary:

CONCLUSIONS: The XGBoost model effectively predicts SAE in elderly ICU patients and may serve as a reliable tool for clinicians to identify high-risk patients.

Link:

https://pubmed.ncbi.nlm.nih.gov/40313459/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20250511144426&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » database[Title]

Tags:

Authors:

Yupeng Han, Xiyuan Xie, Jiapeng Qiu, Yijie Tang, Zhiwei Song, Wangyu Li, Xiaodan Wu

Date tagged:

05/11/2025, 14:50

Date published:

05/02/2025, 06:00