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Articles (62)

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1-10 of 62 results for Medical Information Mart for Intensive Care IV database

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Select article: Association between N-terminal pro B-type natriuretic peptide and short- and long-term all-cause mortality in critically ill patients with sepsis: A retrospective study based on the Medical Information Mart for Intensive Care IV database

Open access

Research article

First published 2026-1

Association between N-terminal pro B-type natriuretic peptide and short- and long-term all-cause mortality in critically ill patients with sepsis: A retrospective study based on the Medical Information Mart for Intensive Care IV database

Anke Shi, Haotian Lu, Jing Zhao [...]

Science Progress

Select article: Lactate dehydrogenase-to-albumin ratio as a predictor of 28-day mortality in critically Ill patients with gastrointestinal cancers: Insights from machine learning and the Medical Information Mart for Intensive Care IV database

Open access

Research article

First published 2025

Lactate dehydrogenase-to-albumin ratio as a predictor of 28-day mortality in critically Ill patients with gastrointestinal cancers: Insights from machine learning and the Medical Information Mart for Intensive Care IV database

Xinyi Chen, Yuwen Cai, Xianglin Yuan

DIGITAL HEALTH

Select article: Cardiac Arrest-Associated Coagulopathy Could Predict 30-day Mortality: A Retrospective Study from Medical Information Mart for Intensive Care IV Database

Open access

Research article

First published 2024

Cardiac Arrest-Associated Coagulopathy Could Predict 30-day Mortality: A Retrospective Study from Medical Information Mart for Intensive Care IV Database

Jingwei Duan, Hongxia Ge, Wenyang Fan [...]

Clinical and Applied Thrombosis/Hemostasis

Select article: Nomogram for predicting 28-day mortality in bacterial pneumonia with sepsis and acute kidney injury: A study based on the Medical Information Mart for Intensive Care-IV database

Open access

Research article

First published 2026

Nomogram for predicting 28-day mortality in bacterial pneumonia with sepsis and acute kidney injury: A study based on the Medical Information Mart for Intensive Care-IV database

Yu Jie Li, Wen Lu Hang, Min Ren [...]

Sage Open Medicine

Select article: The association of systemic inflammatory response syndrome with 30-day mortality in critically ill cirrhosis patients with acute kidney injury: An analysis of the Medical Information Mart for Intensive Care-IV database

Open access

Research article

First published 2025-10

The association of systemic inflammatory response syndrome with 30-day mortality in critically ill cirrhosis patients with acute kidney injury: An analysis of the Medical Information Mart for Intensive Care-IV database

Jia Tian, Ting Zhou, Rui Cui [...]

Science Progress

Select article: Relationship between urine output and in-hospital mortality among patients with acute exacerbation of chronic obstructive pulmonary disease: A cohort study based on the Medical Information Mart for Intensive Care IV database

Open access

Research article

First published 2025-10

Relationship between urine output and in-hospital mortality among patients with acute exacerbation of chronic obstructive pulmonary disease: A cohort study based on the Medical Information Mart for Intensive Care IV database

Saimei Nie, Bei Wang, Jianhua Yu [...]

Science Progress

Select article: Enhancing predictions with a stacking ensemble model for ICU mortality risk in patients with sepsis-associated encephalopathy

Open access

Research article

First published 2024-3

Enhancing predictions with a stacking ensemble model for ICU mortality risk in patients with sepsis-associated encephalopathy

Xuhui Liu, Hao Niu, Jiahua Peng

Journal of International Medical Research

Select article: Predicting time-to-event outcomes in critically ill patients with intracerebral hemorrhage using machine learning

Open access

Research article

First published 2026-3

Predicting time-to-event outcomes in critically ill patients with intracerebral hemorrhage using machine learning

Jianhua Chen, Mengjie Wang, Xiaoqin Xia [...]

Journal of International Medical Research

Select article: Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care unit

Open access

Research article

First published 2025-8

Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care unit

Xiang Luo, Xiuji Kan, Dongliang Wang [...]

Journal of International Medical Research

Select article: Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms

Open access

Research article

First published 2026

Predicting blood transfusion after ICU admission in five databases: A comparison of three machine learning paradigms

Johanna Schwinn, Seyedmostafa Sheikhalishahi, Matthaeus Morhart [...]

DIGITAL HEALTH

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