Latest AI and machine learning research in public health & policy for healthcare professionals.
. Drug resistance is a major challenge in antibiotic chemotherapy. Assessing resistance profiles of ...
The aim of this study was to evaluate the efficacy of two metaphylactic approaches (long acting anti...
Estimation of causal effects using observational data continues to grow in popularity in the epidemi...
BACKGROUND: Depression is commonly comorbid with many other somatic diseases and symptoms. Identific...
INTRODUCTION: Data from social media have been shown to have utility in augmenting traditional appro...
Missing data is a common issue in community health and epidemiological studies. Direct removal of sa...
Having a system to stratify individuals according to risk is key to clinical disease prevention. Thi...
Low socioeconomic and health care access realities of being American Indian/Alaskan Native (AI/AN) i...
Early childhood anxiety disorders are common, impairing, and predictive of anxiety and mood disorder...
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 ...
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 ...
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...
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...
PURPOSE: The logistics of conducting double-blinded phase III clinical trials with participants resi...