Early Initiation of Breastfeeding: Prevalence and Associated Factors among Infants Aged 0 to 6 Months at the Institute of ...

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 advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...

Aim This study aimed to clarify the end-of-life care among inpatients with schizophrenia, using a national claims database. Methods We conducted a retrospective cohort study of inpatients aged 20 ...

Background: Increasing evidence has demonstrated that exposure to environmental heavy metals harms human health. However, information regarding the impact of co-exposure to metal mixtures on the risk ...

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 ...

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).

Background: Substance use among undergraduate university students has been recognized as a global public health issue; however, little attention is given to addressing this issue. Limited research has ...

Objective: We sought to investigate the consequences of alcohol intake on intracerebral hemorrhage (ICH) and cerebral small vessel disease (cSVD) in patients with spontaneous ICH. Methods: We compared ...