Latest Articles for Healthcare Research

Research reveals high SARS-CoV-2 exposure rates in Zambia's pregnant women via ANC clinics.

A new model improves how we analyze multi-view data effectively.

This study highlights key challenges and priorities in PCD research.

A study on improving mental health for older adults with long-term conditions.

Exploring methods to handle missing data in cluster-randomized trials effectively.

Research focuses on enhancing coiling methods to treat cerebral aneurysms safely.

A method to predict missing information in graph nodes using local structures.

This article discusses respiratory infections' effects on health and economic cost.

A study reveals IABP may reduce death rates compared to Impella in cardiogenic shock.

New dataset enhances understanding of eye diseases in Latin America.

Learn how to model event occurrence using the nhppp package in R.

Examining the growing threat of antibiotic-resistant infections in the UAE.

A new kNN method improves mean and variance estimation with uncertainty assessment.

Research highlights the prevalence and testing challenges of HTLV among blood donors in Amazonas.

This article examines the impact of treatments on diverse patient subgroups using multi-source data.

A method for collaborative analysis without sharing sensitive patient data.

Study examines early immunity to SARS-CoV-2 in South Carolina healthcare workers.

A look into Functional Principal Component Analysis for handling sparse functional data.

A new framework for analyzing longitudinal data with missing values in various fields.

Learn effective methods for analyzing ordinal response variables in research.

An introduction to functional regression models and their applications in various fields.

A method to estimate treatment effects when key information is missing.

Examining beta-blockers and salbutamol's effects on prostate cancer risk and survival.

This study enhances decision-making by adding the option to abstain in multi-armed bandit problems.

New findings on viremia levels in dengue patients reveal links to severity.

A new approach enhances the measurement of risks in clinical trials.

This research enhances decision-making under uncertainty using batch learning and dynamic strategies.

Learn effective methods for addressing the sleeping bandit problem in decision-making.

Introducing a method that enhances analysis of complex surface data in multiple fields.

New methods enhance patient privacy while improving medical image research.

Interactive tool helps users interpret high-dimensional data more effectively.

A new method enhances the analysis of count data in longitudinal studies.

Research reveals individual differences in brain activity among patients with Alzheimer's and Parkinson's diseases.

Research reveals crucial symptoms to identify severe RSV cases in adults.

The role of machine learning in analyzing medical images is rapidly growing.

Efforts to improve tracking of antimicrobial resistance worldwide through combined data sources.

Combining various biological data layers can enhance disease understanding and treatment.

Learn about correlations and their significance in various fields.

This study highlights the role of commensal Neisseria in antibiotic resistance development.

A new method for analyzing variable relationships by including influencing factors.