XGBoost in the Prediction of 28-Day Mortality in Critical Elderly Patients with Hip Fracture: A MIMIC-IV Cohort Study.

The ability of the XG Boost model to predict the 28-day mortality risk in elderly patients with severe hip fractures is better than the multivariate logistic regression model, which will help healthcare professionals provide more support for elderly patients with hip fracture.

Authors

Publication Details

Journal
PubMed
Published
2024-09-01
Citations
5
Primary Topic
Hip and Femur Fractures
Type
article
Field-Weighted Citation Impact
2.86
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article

XGBoost in the Prediction of 28-Day Mortality in Critical Elderly Patients with Hip Fracture: A MIMIC-IV Cohort Study.

Rui Wang, Xiaoping Wang, Yuan Wei, Jinchao Wu et al.
5 citations
PubMed
Hip and Femur Fractures
2.86
article

XGBoost in the Prediction of 28-Day Mortality in Critical Elderly Patients with Hip Fracture: A MIMIC-IV Cohort Study.

Rui Wang, Xiaoping Wang, Yuan Wei, Jinchao Wu, Min Xiao, G Liu
article en
5 citations

Abstract

The ability of the XG Boost model to predict the 28-day mortality risk in elderly patients with severe hip fractures is better than the multivariate logistic regression model, which will help healthcare professionals provide more support for elderly patients with hip fracture.

PubMedVol. 30(9)
Good health and well-being
Openalex Percentile: Top 10%
Hip and Femur Fractures
2.86
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XGBoost in the Prediction of 28-Day Mortality in Critical Elderly Patients with Hip Fracture: A MIMIC-IV Cohort Study. — Rui Wang, Xiaoping Wang, et al. · PubMed (2024) | TGRS Research Map | TGRS