Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

Objectives The development of simple tools to identify individuals at high risk of coronary heart disease (CHD) would enable rapid implementation of preventive measures. This study was designed to ...

Objective: To explore the predictive role of the triglyceride-glucose index (TyG index) on the early neurological improvement in non-diabetic patients with acute ischemic stroke (AIS) undergoing ...

Background: Acute pancreatitis (AP) is a common gastrointestinal disorder, with organ failure being the primary cause of mortality. This study evaluates the combined score of C-reactive protein level ...

High Ki-67 expression predicts poorer survival in patients with acral melanoma, a rare subtype in which Ki-67's predictive value had not been established. High Ki-67 expression is associated with more ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

Background: Cardiovascular disease is associated with inflammation and dysregulated lipid metabolism. This study aimed to investigate the predictive value of high-sensitive C-reactive protein to ...

This study explores the development of two predictive models for the yield sooting index (YSI) of various fuels using the advanced capabilities of machine learning (ML), particularly multilayer ...

5 The Third Central Clinical College of Tianjin Medical University, Tianjin, China Objectives To assess the prognostic efficacy of innovative inflammatory indicators, specifically the ...