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.

Sample size determination for conducting a pilot study to assess reliability of a questionnaire.

This article is a narrative review that discusses the recommended sample size requirements to design a pilot study to assess the reliability of a questionnaire. A list of various sample size tables that are based on the kappa agreement test, intra-class correlation test and Cronbach's alpha test has been compiled together. For all calculations, type I error (alpha) was set at a maximum value of 0.

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.

A Review on Sample Size Determination for Cronbach's Alpha Test: A Simple Guide for Researchers.

Background: Reliability studies are commonly used in questionnaire development studies and questionnaire validation studies. This study reviews the sample size guideline for Cronbach's alpha test.

Methods: Manual sample size calculation using Microsoft Excel software and sample size tables were tabulated based on a single coefficient alpha and the comparison of two coefficients alpha.