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Machine Learning Predict Acute Kidney Injury in Patients Following Cardiac Surgery

Acute Kidney Injury Clinical Trial

Official title:
Using Machine Learning to Predict Acute Kidney Injury in Patients Following Cardiac Surgery

Clinical Trial 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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04966598
Study type Observational
Source Chinese PLA General Hospital
Contact
Status Completed
Phase
Start date September 1, 2020
Completion date January 1, 2021
View Details
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