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Machine Learning Predict Acute Kidney Injury in Patients Following Cardiac Surgery

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clinicaltrials.gov/study/NCT04966598
Is a
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Clinical study
0

Clinical Study attributes

NCT Number
NCT049665980
Health Conditions in Trial
Acute kidney injury
Acute kidney injury
0
Machine learning
Machine learning
0
Trial Recruitment Size
2,1080
Clinical Trial Start Date
September 1, 2020
0
Primary Completion Date
January 1, 2021
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Study Completion Date
January 1, 2021
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Clinical Trial Study Type
Observational0
Observational Clinical Trial Type
Other0
Observational Study Perspective
Retrospective0
Official Name
Using Machine Learning to Predict Acute Kidney Injury in Patients Following Cardiac Surgery0
Last Updated
July 22, 2021
0
Study summary

Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication which may result in adverse impact on short- and long-term mortality. The investigatorshere developed several prediction models based on machine learning technique to allow early identification of patients who at the high risk of unfavorable kidney outcomes. The retrospective study comprised 2108 consecutive patients who underwent cardiac surgery from January 2017 to December 2020.

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