Latest AI and machine learning research in public health & policy for healthcare professionals.
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...
BACKGROUND: Unilateral pulmonary edema (UPE) has been reported after mitral operations performed thr...
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: Preauthorisation is a control mechanism that is used by Health Insurance Providers (HIPs...
As one of the most popular statistical and machine learning models, logistic regression with regular...
BACKGROUND: Traditional systems of medicine use herbal drugs for hepatoprotection. Thus, the study w...
PURPOSE: The logistics of conducting double-blinded phase III clinical trials with participants resi...
BACKGROUND: Avian influenza (AI) is an important zoonotic disease responsible for significant losses...
BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, c...
The most important part of the early prevention of atherosclerosis and cardiovascular diseases is th...
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...
OBJECTIVE: Vast amounts of injury narratives are collected daily and are available electronically in...