Latest AI and machine learning research in public health for healthcare professionals.
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...
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...
BACKGROUND: Social media platforms are increasingly seen as a source of data on a wide range of heal...
Breast cancer is the second leading cancer for Korean women and its incidence rate has been increasi...
BACKGROUND: Death certificates provide an invaluable source for mortality statistics which can be us...
Infra-species taxonomy is a prerequisite to compare features such as virulence in different pathogen...
BACKGROUND: Incidence of catheter-associated urinary tract infection (CAUTI) is a quality benchmark....
For specific purpose, vision-based surveillance robot that can be run autonomously and able to acqui...
BACKGROUND: In the past few decades, several researchers have proposed highly accurate prediction mo...
The adaptive immune response to vaccination or infection can lead to the production of specific anti...
The immune system has evolved to make a diverse repertoire of peptides processed from self and forei...
OBJECTIVE: To synthesise recent research on the use of machine learning approaches to mining textual...
BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could ...
The global movement of people and goods has increased the risk of biosecurity threats and their pote...
Accurate incidence forecasting of infectious disease provides potentially valuable insights in its o...
OBJECTIVE: To develop a probabilistic model for discovering and quantifying determinants of outbreak...
A new non-pharmacological method of distraction was tested with 57 children during their annual flu ...