Latest AI and machine learning research in public health for healthcare professionals.
Missing data is a common issue in community health and epidemiological studies. Direct removal of sa...
The Hepatitis B vaccine is highly effective for the prevention of hepatitis B (HBV) infection. We re...
Large epidemiological studies have shown a consistent increased risk for developing lymphoma in the ...
This study describes the NMR-based method to determine the limit of quantitation (LOQ) and limit of ...
The Q-UEL language of XML-like tags and the associated software applications are providing a valuabl...
BACKGROUND: Despite extensive efforts to monitor and prevent surgical site infections (SSIs), real-t...
Sequence analyses of pathogen genomes facilitate the tracking of disease outbreaks and allow relatio...
Plant disease outbreak is increasing rapidly around the globe and is a major cause for crop loss wor...
The present study investigated how three task demand factors influenced performance, subjective work...
BACKGROUND: We developed the Apollo Structured Vocabulary (Apollo-SV)-an OWL2 ontology of phenomena ...
INTRODUCTION: Nonmedical use of prescription medications/drugs (NMUPD) is a serious public health th...
Hospital-acquired infections pose a significant risk to patient health, while their surveillance is ...
Traditional methods for monitoring influenza are haphazard and lack fine-grained details regarding t...
CONTEXT: One of the most common complications of pregnancy is gestational diabetes mellitus (GDM), w...
The sheer volume of textual information that needs to be reviewed and analyzed in many clinical sett...
BACKGROUND: Avian influenza (AI) is an important zoonotic disease responsible for significant losses...
BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, c...
BACKGROUND: Mapping job titles to standardised occupation classification (SOC) codes is an important...
BACKGROUND: Assessment of the response to the 2014-15 Ebola outbreak indicates the need for innovati...
The "Vaccine and Drug Ontology Studies" (VDOS) international workshop series focuses on vaccine- and...
BACKGROUND: Atheoretical large-scale data mining techniques using machine learning algorithms have p...