Comparative Analysis of Logistic Regression, Gradient Boosted Trees, SVM, and Random Forest Algorithms for Prediction of Acute Kidney Injury Requiring Dialysis After Cardiac Surgery.

Purpose: This study aimed to identify the best-performing algorithm for predicting Acute Kidney Injury (AKI) necessitating dialysis following cardiac surgery.

Patients And Methods: The dataset encompassed patient data from a tertiary cardiothoracic center in Malaysia between 2011 and 2015, sourced from electronic health records. Extensive preprocessing and feature selection ensured data quality and relevance.

Nephrotoxic Medications and Risk Factors of Acute Kidney Injury in Medical Wards: A Single-Center Study.

Acute kidney injury (AKI) is a medical complication that can arise from various causes. This study aimed to determine the incidence of AKI and the predictors for the development of AKI in the medical wards of a tertiary hospital. A prospective cohort study was conducted on patients admitted to the medical wards from November 1 to December 31, 2017.