Surveillance

Signals Among Signals: Prioritizing Nongenetic Associations in Massive Data Sets.

Massive data sets are often regarded as a panacea to the underpowered studies of the past. At the sa...

Reporting of artificial intelligence prediction models.

Determinants of In-Hospital Mortality After Percutaneous Coronary Intervention: A Machine Learning Approach.

Background The ability to accurately predict the occurrence of in-hospital death after percutaneous ...

Real-time Epidemic Forecasting: Challenges and Opportunities.

Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epi...

Phylogenomics and Infectious Potential of Avian Avulaviruses Species-Type 1 Isolated from Healthy Green-Winged Teal () from a Wetland Sanctuary of Indus River.

Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in na...

A Dual-Accelerometer System for Classifying Physical Activity in Children and Adults.

INTRODUCTION: Accurately monitoring 24-h movement behaviors is a vital step for progressing the time...

Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes.

Identifying the animal origins of RNA viruses requires years of field and laboratory studies that st...

Distribution of main Gram-positive pathogens causing bloodstream infections in United States and European hospitals during the SENTRY Antimicrobial Surveillance Program (2010-2016): concomitant analysis of oritavancin in vitro activity.

This study updates the distribution and trends of Gram-positive organisms causing bloodstream infect...

pBRIT: gene prioritization by correlating functional and phenotypic annotations through integrative data fusion.

MOTIVATION: Computational gene prioritization can aid in disease gene identification. Here, we propo...

Barriers to staff reporting adverse incidents in NHS hospitals.

Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), ...

AI surveillance studies need ethics review.

BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture.

Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the doma...

Quantitative Analysis of Uncertainty in Medical Reporting: Creating a Standardized and Objective Methodology.

Uncertainty in text-based medical reports has long been recognized as problematic, frequently result...

Data-Adaptive Estimation for Double-Robust Methods in Population-Based Cancer Epidemiology: Risk Differences for Lung Cancer Mortality by Emergency Presentation.

In this paper, we propose a structural framework for population-based cancer epidemiology and evalua...

Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology.

The increasing availability of electronic health data presents a major opportunity in healthcare for...

Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation.

OBJECTIVE: Recent years have seen increased worldwide popularity of e-cigarette use. However, the ri...

Incidence and outcomes of neonatal acute kidney injury (AWAKEN): a multicentre, multinational, observational cohort study.

BACKGROUND: Single-center studies suggest that neonatal acute kidney injury (AKI) is associated with...

Person Re-identification by Multi-hypergraph Fusion.

Matching people across nonoverlapping cameras, also known as person re-identification, is an importa...

The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

Venous thromboembolism (VTE) is a potentially life-threatening condition that includes both deep vei...

Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records: A Validation Study.

BACKGROUND: Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety...

Development of an automated assessment tool for MedWatch reports in the FDA adverse event reporting system.

OBJECTIVE: As the US Food and Drug Administration (FDA) receives over a million adverse event report...