A Novel Radiomics-Based Machine Learning Framework for Prediction of Acute Kidney Injury-Related Delirium in Patients Who Underwent Cardiovascular Surgery

<div>Diagnostic performance of novel biomarkers using receiver-operative characteristic curves of EF, RBCI, ICU<sub>mvat</sub>, and clinical signature. (a–d) stands for the performance of novel biomarkers of EF, RBCI, ICUmvat, and clinical signature, respectively.</div>

Computational and Mathematical Methods in Medicine

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Figure 5

Figure 5: A Novel Radiomics-Based Machine Learning Framework for Prediction of Acute Kidney Injury-Related Delirium in Patients Who Underwent Cardiovascular Surgery 

Figure 5 | A Novel Radiomics-Based Machine Learning Framework for Prediction of Acute Kidney Injury-Related Delirium in Patients Who Underwent Cardiovascular Surgery 