Additional file 3 of A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models
Introduction: Tetralogy of Fallot (TOF) repair is associated with excellent operative survival. However, a subset of patients experiences post-operative complications, which can significantly alter th
Machine learning-based prediction model indicated that increasing tendency of urine protein is a risk factor for rapid glomerular filtration rate decline in patients with chronic kidney disease
Baseline characteristics of the study population with myocardial infarction (MI) stratified by survival status of MI and 28-day case fatality, Copenhagen General Population Study 2003–2014.
Objective: The aim of the current study was to develop two predictive models, using data from the index admission as well as historic data on a patient, to predict the development of UTI at the time o
At the emergency department, it is important to quickly and accurately identify patients at risk of acute myocardial infarction (AMI). One of the main tools for detecting AMI is the electrocardiogram