Latest AI and machine learning research in surveillance for healthcare professionals.
Background The ability to accurately predict the occurrence of in-hospital death after percutaneous ...
Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epi...
INTRODUCTION: Accurately monitoring 24-h movement behaviors is a vital step for progressing the time...
Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in na...
Identifying the animal origins of RNA viruses requires years of field and laboratory studies that st...
This study updates the distribution and trends of Gram-positive organisms causing bloodstream infect...
MOTIVATION: Computational gene prioritization can aid in disease gene identification. Here, we propo...
Our study assessed barriers to reporting adverse incidents (AIs). Adverse incident reporting (AIR), ...
In this paper, we propose a structural framework for population-based cancer epidemiology and evalua...
The increasing availability of electronic health data presents a major opportunity in healthcare for...
BACKGROUND: Single-center studies suggest that neonatal acute kidney injury (AKI) is associated with...
Twitter, as a social media platform, has become an increasingly useful data source for health survei...
An artificial neural network (ANN) model was developed to predict the risks of congenital heart dise...
Patient falls are a common safety event type that impairs the healthcare quality. Strategies includi...
In health question answering (QA) system development, question topic identification is crucial to un...
This study documents reporting errors in a sample of over 250,000 p-values reported in eight major p...
The digital revolution has contributed to very large data sets (ie, big data) relevant for public he...
The migration of imaging reports to electronic medical record systems holds great potential in terms...
Pathogen distribution models that predict spatial variation in disease occurrence require data from ...
Longitudinal studies play a key role in various fields, including epidemiology, clinical research, a...
Networks are well suited to display and analyze complex systems that consist of numerous and interli...