Predictive model of acute kidney injury in critically ill patients with acute pancreatitis: a machine learning approach using the MIMIC-IV database

CONCLUSIONS: The GBM model's precision is crucial, aiding clinicians in identifying high-risk patients and enabling timely interventions to reduce mortality rates in critical care.PMID:38264967 | PMC:PMC10810629 | DOI:10.1080/0886022X.2024.2303395

Source: Renal Failure - January 24, 2024 Category: Urology & Nephrology Authors: Shengwei Lin Wenbin Lu Ting Wang Ying Wang Xueqian Leng Lidan Chi Peipei Jin Jinjun Bian Source Type: research