In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

Objective This study aimed to assess the prevalence of eye care service utilisation and associated factors among healthcare professionals in Gondar city, northwest Ethiopia. Design An ...

Efficient, predictable enforcement of the Hague-Visby Rules is critical to Tanzania’s competitiveness in global supply chains, yet circumstantial evidence suggests systematic delays and uncertainty.

Announcing a new article publication for Zoonoses journal. In northeastern China, tick-borne diseases pose a major public health challenge, which is exacerbated by environmental and anthropogenic ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...

ABSTRACT: Food insecurity is a global issue, and households in a society can experience food insecurity at different levels that could range from being mildly food insecure to severely food insecure.