Latest Articles for Healthcare Research

Examining the impact of depression on recovery from CABG surgery.

ETSEF enhances diagnosis through efficient use of limited medical data.

A study reveals higher kidney disease risks in COVID-19 patients versus influenza.

A new method improves data modeling in areas with limited information.

A look at record linkage algorithms and their impact on data analysis.

Research explores effective blood tests for diagnosing tuberculosis, especially extrapulmonary cases.

Examining the link between mTBI and persistent balance issues through neuroimaging.

Research highlights competitive traits of ST111 strain in healthcare settings.

A structured approach to finding meaningful spatial relationships in diverse fields.

Study reveals gut microbiome's role in brain development for preterm infants.

A new method for enhancing small language models using knowledge graphs for better causal analysis.

This article discusses the benefits and challenges of collaborative causal inference.

A new initiative aims to improve health care for children in Switzerland.

CAF-PoNo improves causal analysis using normalizing flows, ensuring invertibility in complex relationships.

Research highlights fosfomycin's effectiveness in treating urinary tract infections amid rising drug resistance.

New method enhances segmentation accuracy of optic disc and cup in retinal images.

A method to analyze patient treatment effects using existing data.

Analyzing how individual traits affect medication responses through statistical methods.

New research highlights the importance of vaccine choice for effective protection.

A tool for accurate sample size calculations in clinical trials considering noncompliance.

This article discusses how to approach treatment effects despite participant non-compliance.

New methods enhance data privacy while preserving analysis accuracy.

This study examines links between CVD and depression through biological factors.

Characteristic Interventional Sum-Product Networks improve causal inference in mixed data.

ISLES’24 aims to improve stroke damage prediction using imaging and clinical data.

Research reveals how A. baumannii changes to survive antibiotic treatments.

A study on the influenza vaccine's impact on children in Hong Kong.

A study reveals insights into filariasis and its impact on global health.

A new method for assessing model performance using exhaustive nested cross-validation.

This study replicates findings on diabetes hospitalization after COVID-19 using national data.

Exploring infection risks linked to venous catheters and immune cell interactions.

Exploring the impacts of familial hypercholesterolemia on pregnancy outcomes.

A study on respiratory infections among UK healthcare workers during the winter of 2022-2023.

Research confirms nirsevimab significantly protects infants from RSV-related health issues.

Air-HOLP improves feature screening in complex datasets, balancing accuracy and efficiency.

A CNN model enhances the diagnosis accuracy of bacterial vaginosis.

GeoMatching improves treatment effect estimates by considering data geometry.

Study reveals effectiveness of various aids for quitting smoking in England.

Nonparanormal models provide insights into complex, non-normal data relationships.

This article discusses dataset distillation and its importance in various fields.