Prediction model of in-hospital mortality in intensive care unit patients with heart failure: machine learning-based, retrospective analysis of the MIMIC-III database
Objective The predictors of in-hospital mortality for intensive care units (ICUs)-admitted heart failure (HF) patients remain poorly characterised. We aimed to develop and validate a prediction model for all-cause in-hospital mortality among ICU-admitted HF patients.Design A retrospective cohort stu...
Main Authors: | Mingqiang Fu, Jingmin Zhou, Jidong Zhang, Fuhai Li, Hui Xin, Zhexun Lian |
---|---|
Format: | Article |
Language: | English |
Published: |
BMJ Publishing Group
2021-07-01
|
Series: | BMJ Open |
Online Access: | https://bmjopen.bmj.com/content/11/7/e044779.full |
Similar Items
-
Increased ratio of sST2/LVMI predicted cardiovascular mortality and heart failure rehospitalization in heart failure with reduced ejection fraction patients: a prospective cohort study
by: Fuhai Li, et al.
Published: (2021-08-01) -
Mean arterial pressure and mortality in patients with distributive shock: a retrospective analysis of the MIMIC-III database
by: Jean-Louis Vincent, et al.
Published: (2018-11-01) -
Association of Acidemia With Short-Term Mortality of Acute Myocardial Infarction: A Retrospective Study Base on MIMIC-III Database
by: Tang Zhang, et al.
Published: (2020-08-01) -
Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database
by: Yibing Zhu, et al.
Published: (2021-07-01) -
Admission Hyperglycemia Predicts Long-Term Mortality in Critically Ill Patients With Subarachnoid Hemorrhage: A Retrospective Analysis of the MIMIC-III Database
by: Dongliang Liu, et al.
Published: (2021-10-01)