An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study

An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study

Abstract Background Prolonged dependence on mechanical ventilation is a common occurrence in clinical ICU patients and presents significant challenges for patient care and resource allocation. Predicting prolonged dependence on mechanical ventilation is crucial for improving patient outcomes, preven...

Full description

Saved in:
Bibliographic Details
Main Authors: Weigang Jiang, Tao Liu, Baisheng Sun, Lixia Zhong, Zhencan Han, Minhua Lu, Mingxing Lei
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Musculoskeletal Disorders
Subjects:
Artificial intelligence
Mechanical ventilation
Critical orthopaedic trauma
Machine learning
A comprehensive evaluation system
Online Access:https://doi.org/10.1186/s12891-024-08245-9
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12891-024-08245-9

Similar Items