Prediction of Acute Kidney Injury After Cardiac Surgery Using Interpretable Machine Learning.

Azar Ejmalian,Atefe Aghaei,Shahabedin Nabavi, Maryam Abedzadeh Darabad,Ardeshir Tajbakhsh,Ahmad Ali Abin,Mohsen Ebrahimi Moghaddam,Ali Dabbagh,Alireza Jahangirifard,Elham Memary,Shahram Sayyadi

Anesthesiology and pain medicine（2022）

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摘要

The treatment team can be informed about the possibility of postoperative AKI before cardiac surgery using machine learning models such as RF and XGBoost and adjust the treatment procedure accordingly. Interpretability of predictions for each patient ensures the validity of obtained predictions.

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关键词

AKI Prediction,Acute Kidney Injury,Cardiac Surgery,Interpretable Machine Learning

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