Latest AI and machine learning research in surveillance for healthcare professionals.
Hepatocellular carcinoma (HCC) is the main cause of mortality in patients with chronic viral hepatit...
Endomicroscopy is a new technique that allows human tissue to be characterized in vivo and in situ, ...
OBJECTIVE: Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse drug r...
Food intake and eating habits have a significant impact on people's health. Widespread diseases, suc...
BACKGROUND: Influenza (flu) surveillance using Twitter data can potentially save lives and increase ...
The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts population-based survei...
. Drug resistance is a major challenge in antibiotic chemotherapy. Assessing resistance profiles of ...
The Hepatitis B vaccine is highly effective for the prevention of hepatitis B (HBV) infection. We re...
The Q-UEL language of XML-like tags and the associated software applications are providing a valuabl...
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...
The sheer volume of textual information that needs to be reviewed and analyzed in many clinical sett...
As one of the most popular statistical and machine learning models, logistic regression with regular...
BACKGROUND: Avian influenza (AI) is an important zoonotic disease responsible for significant losses...
BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, c...
OBJECTIVE: Vast amounts of injury narratives are collected daily and are available electronically in...
Comparative analyses of the characteristics of persons living with HIV infection (PLWH) in the Unite...
We present a machine learning-based methodology capable of providing real-time ("nowcast") and forec...
Person re-identification aims to match people across non-overlapping camera views, which is an impor...