Prediction of the development of acute kidney injury following cardiac surgery by machine learning

Structured PICO

Can machine learning methods accurately predict the development of acute kidney injury following cardiac surgery?

Population

Patients undergoing cardiac surgery

Intervention

Machine learning methods for predicting cardiac surgery-associated acute kidney injury (CSA-AKI)

Outcome

Prediction of cardiac surgery-associated acute kidney injury (CSA-AKI)

Machine learning models can successfully predict acute kidney injury following cardiac surgery, potentially enabling the optimization of postoperative treatment strategies.

Abstract

In this study, machine learning methods were successfully established to predict CSA-AKI, which determines risks following cardiac surgery, enabling the optimization of postoperative treatment strategies to minimize the postoperative complications following cardiac surgeries.

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Prediction of the development of acute kidney injury following cardiac surgery by machine learning

Structured PICO

Abstract

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