Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...

Introduction SLE is a chronic autoimmune disease characterised by multisystem involvement and fluctuating clinical course, ...

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 ...

Abstract: With the rapid development and wide application of unmanned aerial vehicles (UAVs), concerns about their safety and reliability are increasing. Anomaly detection of flight data and ...

Objective: To explore and analyze the risk factors leading to delayed discharge in patients undergoing day surgery for total knee arthroplasty, providing a theoretical basis for optimizing patient ...

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...

We analyzed data from participants in CHARLS (China Health and Retirement Longitudinal Study) conducted in 2015 and 2018. The exposure variable was SI, calculated as the ratio of serum creatinine to ...

Background Studies have been conducted to explore the potential predictive indicators of unfavorable outcomes in patients with acute ischemic stroke (AIS) caused by large vessel occlusion (LVO).

Objective: Previous studies have found that the relationship between metabolic indicators and Hashimoto’s thyroiditis (HT) in non-diabetic adults remains unclear. This study aims to explore the ...