Which risk predictors are more likely to indicate severe AKI in hospitalized patients?-Reference-Cited by-同舟云学术

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Which risk predictors are more likely to indicate severe AKI in hospitalized patients?

Published:2020-11 Issue: Volume:143 Page:104270
ISSN:1386-5056
Container-title:International Journal of Medical Informatics
language:en
Short-container-title:International Journal of Medical Informatics

Author:

Wu Lijuan,Hu Yong,Yuan Borong,Zhang Xiangzhou,Chen Weiqi,Liu Kang,Liu Mei

Funder

Youth Science Fund of the National Natural Science Foundation of China

Major Research Plan of the National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Science and Technology Development in Guangdong Province

Guangdong Engineering Technology Research Center for Big Data Precision Healthcare

National Institute of Diabetes and Digestive

Kidney Diseases of the National Institutes of Health

institutional funding

KUMC Clinical Translational Science Award

Publisher

Elsevier BV

Subject

Health Informatics

Reference41 articles.

1. Clinical decision support for in-hospital AKI;Al-jaghbeer;J. Am. Soc. Nephrol.,2018

2. Prediction and detection models for acute kidney injury in hospitalized older adults;Kate;BMC Med. Inform. Decis. Mak.,2016

3. AKIpredictor, an online prognostic calculator for acute kidney injury in adult critically ill patients: development, validation and comparison to serum neutrophil gelatinase-associated lipocalin;Flechet;Intensive Care Med.,2017

4. Paradigms of acute kidney injury in the intensive care setting;Kellum;Nat. Rev. Nephrol.,2018

5. Utilizing electronic health records to predict acute kidney injury risk and outcomes: workgroup statements from the 15 th ADQI consensus conference;Sutherland;Can. J. Kidney Heal. Dis.,2016

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1. Development and validation of a Multi-Causal investigation and discovery framework for knowledge harmonization (MINDMerge): A case study with acute kidney injury risk factor discovery using electronic medical records;International Journal of Medical Informatics;2024-11

2. Epithelial Transport in Disease: An Overview of Pathophysiology and Treatment;Cells;2023-10-15

3. Platelet-to-Lymphocyte Ratio and In-Hospital Mortality in Patients With AKI Receiving Continuous Kidney Replacement Therapy: A Retrospective Observational Cohort Study;Kidney Medicine;2023-06

4. Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwide;Frontiers in Public Health;2023-03-17

5. Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis;International Journal of Medical Informatics;2022-07

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