Latest AI and machine learning research in public health for healthcare professionals.
OBJECTIVE: Vast amounts of injury narratives are collected daily and are available electronically in...
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance...
Introduction. Acinetobacter calcoaceticus-baumannii complex (ACB complex) is a leading opportunistic...
BACKGROUND & AIMS: Mortality resulting from influenza (flu) virus infections occurs primarily in the...
Although the overall incidence of hepatitis A in Korea has been decreasing, adolescents remain highl...
BACKGROUND: The specification of metadata in clinical and epidemiological study projects absorbs sig...
Bovine papillomavirus (BPV) is considered a useful model to study HPV oncogenic process. BPV interac...
Comparative analyses of the characteristics of persons living with HIV infection (PLWH) in the Unite...
OBJECTIVE: To follow and analyze the clinical course and quality of life of Pandemrix H1N1-vaccine-r...
BACKGROUND: Hepatitis B infection is a global public health problem affecting various sectors in the...
Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (A...
Oral tongue squamous cell carcinomas (OTSCC) are a homogeneous group of tumors characterized by aggr...
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forec...
OBJECTIVE: Most practically deployed Arden-Syntax-based clinical decision support (CDS) modules proc...
Proteins embody epitopes that serve as their antigenic determinants. Epitopes occupy a central place...
BACKGROUND: Individual case review of spontaneous adverse event (AE) reports remains a cornerstone o...
Ebola virus disease (EVD) distinguishes its feature as high infectivity and mortality. Thus, it is u...
Increased susceptibility of birds to avian pathogens in intensive husbandry system has emphasized on...
Extracting informative image features and learning effective approximate hashing functions are two c...
BACKGROUND: Social media platforms are increasingly seen as a source of data on a wide range of heal...
Identifying populations of heart failure (HF) patients is paramount to research efforts aimed at dev...