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1-10 of 26 results for Medical Information Mart for Intensive Care-III database

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Select article: The assessment of data quality issues for process mining in healthcare using Medical Information Mart for Intensive Care III,a freely available e-health record database

Free access

Research article

First published 2019-12

The assessment of data quality issues for process mining in healthcare using Medical Information Mart for Intensive Care III,a freely available e-health record database

Angelina Prima Kurniati, Eric Rojas, David Hogg [...]

Health Informatics Journal

Select article: Red cell distribution width is associated with all-cause mortality in patients with acute stroke: a retrospective analysis of a large clinical database

Open access

Research article

First published 2021-2

Red cell distribution width is associated with all-cause mortality in patients with acute stroke: a retrospective analysis of a large clinical database

Han Zhao, Yuanchen Zhao, Zhipeng Wu [...]

Journal of International Medical Research

Select article: Red cell distribution width is correlated with all-cause mortality of patients in the coronary care unit

Open access

Research article

First published 2020-7

Red cell distribution width is correlated with all-cause mortality of patients in the coronary care unit

Yangpei Peng, Xueqiang Guan, Jie Wang [...]

Journal of International Medical Research

Select article: Impact of obesity on outcomes in patients with acute respiratory syndrome

Open access

Research article

First published 2021-6

Impact of obesity on outcomes in patients with acute respiratory syndrome

Qiao-Yan Liu, Yue Chen, Ying He [...]

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: Nutritional Status Plays a Crucial Role in the Mortality of Critically Ill Patients with Acute Renal Failure

Retricted access

Other

First published 2018-2

Nutritional Status Plays a Crucial Role in the Mortality of Critically Ill Patients with Acute Renal Failure

Haiyan Zhang, Xiaodong Zhang, Lei Dong

Journal of Investigative Medicine

Select article: The Relationship Between AKI in Patients With STEMI and Short-Term Mortality: A Propensity Score Matching Analysis

Retricted access

Research article

First published 2021-9

The Relationship Between AKI in Patients With STEMI and Short-Term Mortality: A Propensity Score Matching Analysis

Zhongyuan Meng, Yaxin Zhao, Xifeng Zheng [...]

Angiology

Select article: Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database

Retricted access

Research article

First published 2025-3

Predicting Mortality in Sepsis-Associated Acute Respiratory Distress Syndrome: A Machine Learning Approach Using the MIMIC-III Database

Shengtian Mu, Dongli Yan, Jie Tang [...]

Journal of Intensive Care Medicine

Select article: Development and validation of a predictive model for hospital mortality in patients with community-acquired pneumonia admitted to the intensive care unit

Open access

Research article

First published 2025-5

Development and validation of a predictive model for hospital mortality in patients with community-acquired pneumonia admitted to the intensive care unit

Xuefeng Song, Qiang Zhang, Zhijiang Qi [...]

Journal of International Medical Research

Select article: Interpretable machine learning models for predicting in-hospital mortality in patients with chronic critical illness and heart failure: A multicenter study

Open access

Research article

First published 2025

Interpretable machine learning models for predicting in-hospital mortality in patients with chronic critical illness and heart failure: A multicenter study

Min He, Yongqi Lin, Siyu Ren [...]

DIGITAL HEALTH

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