Acute Kidney Injury Prediction Model Using Cystatin-C, Beta-2 Microglobulin, and Neutrophil Gelatinase-Associated Lipocalin Biomarker in Sepsis Patients

CONCLUSION: The Naïve Bayes machine learning model in this study is useful for predicting AKI in sepsis patients.PMID:38562530 | PMC:PMC10984190 | DOI:10.2147/IJNRD.S450901

Source: International Journal of Nephrology and Renovascular Disease - April 2, 2024 Category: Urology & Nephrology Authors: Hani Susianti Aswoco Andyk Asmoro None Sujarwoto Wiwi Jaya Heri Sutanto Amanda Yuanita Kusdijanto Kevin Putro Kuwoyo Kristian Hananto Matthew Brian Khrisna Source Type: research