Predictive modeling of ICU-AW inflammatory factors based on machine learning
Abstract Background ICU-acquired weakness (ICU-AW) is a common complication among ICU patients. We used machine learning techniques to construct an ICU-AW inflammatory factor prediction model to predict the risk of disease development and reduce the incidence of ICU-AW. Methods The least absolute sh...
Saved in:
| Main Authors: | Yuanyaun Guo, Wenpeng Shan, Jie Xiang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-12-01
|
| Series: | BMC Neurology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12883-024-03981-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A cross-sectional study on the knowledge, attitude and practice of ICU nurses to ICU acquired weakness in grade-A tertiary hospitals in Beijing (北京市三甲医院ICU护士对ICU获得性衰弱的知信行现况调查及影响因素分析)
by: KUANG Lu (旷璐), et al.
Published: (2024-12-01) -
Early urea-to-creatinine ratio to predict rapid muscle loss in critically ill patients with sepsis: a single-center retrospective observational study
by: Jie Jiang, et al.
Published: (2025-01-01) -
Ketogenic diet in treating sepsis-related acquired weakness: is it friend or foe?
by: Yanmei Miao, et al.
Published: (2024-11-01) -
Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study
by: Hong Ni, et al.
Published: (2024-11-01) -
Predicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers
by: Ling Lei, et al.
Published: (2025-01-01)