Latest Articles for Healthcare Research

New methods for analyzing sensitive data while ensuring individual privacy.

Examines the challenges of anticoagulant use in patients with atrial fibrillation.

A new method for confirming elliptical distributions in multivariate data analysis.

Research addresses spurious currents in microfluidic simulations using artificial viscosity.

Study reveals low medication use among patients with atrial fibrillation and heart failure.

New methods improve community detection in networks through neural graph embeddings.

Study examines COVID-19 and malaria prevalence in Equatorial Guinea.

Study reveals key preferences for TB preventive treatment in people living with HIV.

Examining the long-term health issues following COVID-19 recovery.

Daily vitamin D3 may lead to lower healthcare visits and costs.

CRAS affects patients with heart failure, leading to serious health issues.

Reviewing treatment practices for sodium levels in aSAH patients.

Understanding how individual characteristics influence disease outcomes through modeling.

DART enhances time-to-event prediction using deep learning techniques.

A new method improves functional data analysis, handling outliers effectively.

Study uses graph-based methods to analyze COVID-19 protein interactions.

Research reveals the effectiveness of hybrid immunity against COVID-19 in households.

Analyzing seroprevalence data reveals important patterns in COVID-19 immunity.

Tackling missing data through innovative regression techniques for accurate insights.

Exploring methods to combine data while protecting privacy.

A new approach to improve data estimation using side information.

A large collection of 3D medical shapes for research and education.

Research highlights smarter methods for assessing treatments for Opioid Use Disorder.

New technique combines loosely related data for better research insights.

Introducing innovative residuals for better evaluation of discrete outcome regression models.

A guide to applying Optimal Scaling with GLMs for complex data analysis.

Statistical matching helps compare groups in treatment studies effectively.

A look at the challenges and methods of postexposure vaccination effectiveness.

A new method for better identifying key features in complex data sets.

New insights into how frailty affects stroke recovery in older patients.

A look at how DiscoSCM enhances causal analysis for individual behavior.

GrIVET enhances causal analysis by addressing hidden confounders in complex systems.

Analyzing cases of CNGM to enhance understanding and treatment options.

A study on BinaxNOW’s accuracy in detecting COVID-19 infections.

A look at methods for identifying causal factors in research.

Study assesses the effectiveness of sotrovimab during Delta and Omicron variant waves.

Study reveals T-muurolol's potential to fight antibiotic-resistant S. aureus infections.

A new model highlights crucial elements in people's decisions to get vaccinated.

A look at the EM algorithm and its Monte Carlo adaptation for handling missing data.

Study reveals hybrid immunity's role in reducing severe COVID-19 cases.