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The parameter range of highest contribution as a prediction factor of Cis-AKI.

Figshare2022-01-18 更新2026-04-28 收录

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https://figshare.com/articles/dataset/The_parameter_range_of_highest_contribution_as_a_prediction_factor_of_Cis-AKI_/18645908 数据链接链接失效反馈

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The parameter range of highest contribution as a prediction factor of Cis-AKI.

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创建时间：

2022-01-18

急性肾损伤预后预测

临床风险因素识别

ObjectiveThis study aimed to identify phenotypic clinical features associated with acute kidney injury (AKI) to predict non-recovery from AKI at hospital discharge using electronic health record data.

NIAID Data Ecosystem20

Table_4_Machine learning for the prediction of acute kidney injury in patients after cardiac surgery.docx

急性肾损伤预后预测

Cardiac surgery-associated acute kidney injury (CSA-AKI) is the most prevalent major complication of cardiac surgery and exerts a negative effect on a patient's prognosis, thereby leading to mortality

NIAID Data Ecosystem10

Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study

急性肾损伤预后预测

PCI术后评估

BackgroundThe current acute kidney injury (AKI) risk prediction model for patients undergoing percutaneous coronary intervention (PCI) from the American College of Cardiology (ACC) National Cardiovasc

Figshare2018-11-27 更新00

Univariate and multivariable logistic regression models for the development of AKI.

急性肾损伤预后预测

临床风险模型

Univariate and multivariable logistic regression models for the development of AKI.

Figshare2016-10-13 更新10

Risk factors for renal replacement therapy at hospital discharge: multivariate analysis.

肾脏替代治疗风险预测

急性肾损伤预后预测

AKI: acute kidney injury, OR: odds ratio, CI: confidence interval, eGFR: estimated glomerular filtration rateRisk factors for renal replacement therapy at hospital discharge: multivariate analysis.

Figshare2015-12-03 更新10

The parameter range of highest contribution as a prediction factor of Cis-AKI.

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