Eicu Crd | List of Frontiers open access articles

Original Research

Published on 14 Oct 2024

Machine learning-based prediction of mortality in acute myocardial infarction with cardiogenic shock

in Intensive Care Cardiovascular Medicine

Qitian Zhang
Lizhen Xu
Zhiyi Xie
Weibin He
Xiaohong Huang

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2024.1402503

7,688 views
13 citations

Original Research

Published on 22 Mar 2024

Serum phosphate levels and the development of sepsis associated acute kidney injury: evidence from two independent databases

in Nephrology

Yipeng Fang
Yuan Zhang
Xin Zhang

Frontiers in Medicine

doi 10.3389/fmed.2024.1367064

4,994 views
6 citations

Original Research

Published on 09 Feb 2026

Development and validation of a prediction model for in-hospital mortality in intensive care unit patients with cirrhosis and sepsis: a multicentre retrospective cohort study

in Intensive Care Medicine and Anesthesiology

Zhikun Xu
Qinhua Yang
Dongting Peng
Yichun Jiang
Yijing Su
Boru Wu
Zhiming Chen
Jiayang Huang
Xueyan Liu

Frontiers in Medicine

doi 10.3389/fmed.2026.1759988

459 views

Original Research

Published on 28 Apr 2025

Association between osmolality trajectories and mortality in patients with sepsis: a group-based trajectory model in large ICU open access databases

in Intensive Care Medicine and Anesthesiology

Yipeng Fang
Xuejun Shen
Aizhen Dou
Hui Xie
Keliang Xie

Frontiers in Medicine

doi 10.3389/fmed.2025.1538322

4,312 views
2 citations

Original Research

Published on 22 Jul 2025

Nomogram model of mortality risk in patients with chronic obstructive pulmonary disease in intensive care unit: based on MIMIC-IV database and external validation study

in Pulmonary Medicine

Yikun Guo
Chen Zuo
Jun Yan
Chengjun Ban

Frontiers in Medicine

doi 10.3389/fmed.2025.1547047

2,606 views

Original Research

Published on 14 Dec 2023

Factor analysis based on SHapley Additive exPlanations for sepsis-associated encephalopathy in ICU mortality prediction using XGBoost — a retrospective study based on two large database

in Neurocritical and Neurohospitalist Care

Jiayu Guo
Hongtao Cheng
Zicheng Wang
Mengmeng Qiao
Jing Li
Jun Lyu

Frontiers in Neurology

doi 10.3389/fneur.2023.1290117

5,864 views
20 citations

Original Research

Published on 03 Oct 2024

Survival prediction for heart failure complicated by sepsis: based on machine learning methods

in Intensive Care Medicine and Anesthesiology

Qitian Zhang
Lizhen Xu
Weibin He
Xinqi Lai
Xiaohong Huang

Frontiers in Medicine

doi 10.3389/fmed.2024.1410702

7,027 views
1 citation

Original Research

Published on 26 Jan 2026

Exploring the association between dexmedetomidine and all-cause mortality in mechanically ventilated patients with sepsis through propensity score matching analysis and machine learning algorithms: a MIMIC-IV retrospective study

in Clinical and Diagnostic Microbiology and Immunology

Yanxia Wei
Minghui Li
Peng Wang
Jie Zhou
Kejian Lu
Huageng Huang
Yanjuan Huang
Fei Lin

Frontiers in Cellular and Infection Microbiology

doi 10.3389/fcimb.2025.1653883

760 views

Original Research

Accepted on 24 Feb 2026

Early prophylactic heparin use is associated with reduced mortality in patients with non-traumatic subarachnoid hemorrhage

in Stroke

Haiyan xiang
Xiujuan Chen
Laiyou Wang
Weihua Lai

Frontiers in Neurology

Original Research

Published on 12 Oct 2022

Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases

in Heart Valve Disease

Shengxian Peng
Jian Huang
Xiaozhu Liu
Jiewen Deng
Chenyu Sun
Juan Tang
Huaqiao Chen
Wenzhai Cao
Wei Wang
Xiangjie Duan

Frontiers in Cardiovascular Medicine

doi 10.3389/fcvm.2022.994359

22,432 views
57 citations

Original Research

Published on 23 Sep 2025

Multivitamin supplementation as a potential adjunctive therapy in post-cardiac arrest: insights from a multicenter retrospective analysis of MIMIC-IV and eICU-CRD

in Clinical Nutrition

Jiahao Shen
Danjun Wang
Wenxuan Zhao
Jun Que
Junwei Qian
Xiaoyun Zhang

Frontiers in Nutrition

doi 10.3389/fnut.2025.1602372

2,477 views

Original Research

Published on 19 Oct 2022

Conservative oxygen therapy in critically ill and perioperative period of patients with sepsis-associated encephalopathy

in Inflammation

Yun Li
Lina Zhao
Yang Yu
Kai Zhang
Yi Jiang
Zhiwei Wang
Keliang Xie
Yonghao Yu

Frontiers in Immunology

doi 10.3389/fimmu.2022.1035298

8,039 views
15 citations

Original Research

Published on 10 Jun 2024

Explainable machine learning for predicting neurological outcome in hemorrhagic and ischemic stroke patients in critical care

in Neurocritical and Neurohospitalist Care

Huawei Wei
Xingshuai Huang
Yixuan Zhang
Guowei Jiang
Ruifeng Ding
Mengqiu Deng
Liangtian Wei
Hongbin Yuan

Frontiers in Neurology

doi 10.3389/fneur.2024.1385013

4,673 views
7 citations

Original Research

Published on 24 Apr 2024

Nonlinear relationship between platelet count and 30-day in-hospital mortality in intensive care unit stroke patients: a multicenter retrospective cohort study

in Neurocritical and Neurohospitalist Care

Lan-xiang Wang
Ren-li Liu
Pan Zhou
Hao-fei Hu
Zhe Deng

Frontiers in Neurology

doi 10.3389/fneur.2024.1374159

2,012 views
9 citations

Original Research

Published on 17 Oct 2022

Lactate-to-albumin ratio is associated with in-hospital mortality in patients with spontaneous subarachnoid hemorrhage and a nomogram model construction

in Neurocritical and Neurohospitalist Care

Guo-Guo Zhang
Jia-Hui Hao
Qi Yong
Qian-Qian Nie
Gui-Qiang Yuan
Zong-Qing Zheng
Jin-Quan Li

Frontiers in Neurology

doi 10.3389/fneur.2022.1009253

4,819 views
14 citations

Original Research

Published on 18 Jan 2022

A Simple Weaning Model Based on Interpretable Machine Learning Algorithm for Patients With Sepsis: A Research of MIMIC-IV and eICU Databases

in Intensive Care Medicine and Anesthesiology

Wanjun Liu
Gan Tao
Yijun Zhang
Wenyan Xiao
Jin Zhang
Yu Liu
Zongqing Lu
Tianfeng Hua
Min Yang

Frontiers in Medicine

doi 10.3389/fmed.2021.814566

18,333 views
23 citations

Articles

Machine learning-based prediction of mortality in acute myocardial infarction with cardiogenic shock

Serum phosphate levels and the development of sepsis associated acute kidney injury: evidence from two independent databases

Development and validation of a prediction model for in-hospital mortality in intensive care unit patients with cirrhosis and sepsis: a multicentre retrospective cohort study

Association between osmolality trajectories and mortality in patients with sepsis: a group-based trajectory model in large ICU open access databases

Nomogram model of mortality risk in patients with chronic obstructive pulmonary disease in intensive care unit: based on MIMIC-IV database and external validation study

Factor analysis based on SHapley Additive exPlanations for sepsis-associated encephalopathy in ICU mortality prediction using XGBoost — a retrospective study based on two large database

Survival prediction for heart failure complicated by sepsis: based on machine learning methods

Exploring the association between dexmedetomidine and all-cause mortality in mechanically ventilated patients with sepsis through propensity score matching analysis and machine learning algorithms: a MIMIC-IV retrospective study

Early prophylactic heparin use is associated with reduced mortality in patients with non-traumatic subarachnoid hemorrhage

Interpretable machine learning for 28-day all-cause in-hospital mortality prediction in critically ill patients with heart failure combined with hypertension: A retrospective cohort study based on medical information mart for intensive care database-IV and eICU databases

Multivitamin supplementation as a potential adjunctive therapy in post-cardiac arrest: insights from a multicenter retrospective analysis of MIMIC-IV and eICU-CRD

Conservative oxygen therapy in critically ill and perioperative period of patients with sepsis-associated encephalopathy

Explainable machine learning for predicting neurological outcome in hemorrhagic and ischemic stroke patients in critical care

Nonlinear relationship between platelet count and 30-day in-hospital mortality in intensive care unit stroke patients: a multicenter retrospective cohort study

Lactate-to-albumin ratio is associated with in-hospital mortality in patients with spontaneous subarachnoid hemorrhage and a nomogram model construction

A Simple Weaning Model Based on Interpretable Machine Learning Algorithm for Patients With Sepsis: A Research of MIMIC-IV and eICU Databases