Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Introduction Depression is a common and serious mental health issue in individuals with diabetes, especially among middle-aged and elderly women, leading to reduced treatment adherence, an overall ...

Venus has long been called a dry, hellish planet veiled in clouds of liquid acid. But new study of old spacecraft data tells a different story—one that’s reshaping what scientists believed they knew ...

Have you ever wondered how much untapped potential lies in the vast amounts of data freely available on the web? From government statistics to industry trends and global datasets, the internet is a ...

The Department of Labor is initiating an investigation into how the Bureau of Labor Statistics collects and reports “closely watched economic data,” according to a letter the department’s Assistant ...

Over the past years, significant improvements have been made in chemical risk assessment following advancements in toxicology. Similarly, molecular medicine, molecular epidemiology and research on the ...

CI/CD Pipelines: GitHub Actions or Jenkins for continuous integration and deployment Container Orchestration: Kubernetes with Argo CD for GitOps deployment Read this README and follow the step-by-step ...

Background: Brain metastasis (BM) is one of the common ways of tumor metastasis and has a poor prognosis. This study aims to identify potential biomarkers from the perspective of somatic mutations, ...

Novant Health, a $10 billion integrated healthcare system in the southeastern United States has grown rapidly, and it now includes 19 hospitals and over 750 physician clinics and urgent care centers.

Objectives Patient activation (PAct)—a measure assessing an individual’s perceived knowledge, skills and confidence in managing their health and well-being—is often used to personalise and evaluate ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...