Latest AI and machine learning research in surveillance for healthcare professionals.
BACKGROUND: Many electronic infection detection systems employ dichotomous classification methods, c...
Large volumes of data are continuously generated from clinical notes and diagnostic studies catalogu...
Genotype-phenotype studies aim to identify causative relationships between genes and phenotypes. The...
One important routine task in injury research is to effectively classify injury circumstances into u...
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...
Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (A...
Structured reporting in medicine has been argued to support and enhance machine-assisted processing ...
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...
We introduce and make publicly available a large corpus of digitized primary source human rights doc...
Person re-identification aims to match people across non-overlapping camera views, which is an impor...
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...
In this paper the feasibility to extract the proportion of pigs located in different areas of a pig ...
BACKGROUND: Death certificates provide an invaluable source for mortality statistics which can be us...
BACKGROUND: Activities of daily living (ADL) are important for quality of life. They are indicators ...
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...
BACKGROUND AND AIMS: The adenoma detection rate (ADR) is a quality metric tied to interval colon can...