Computerized clinical decision support (CDS) aims to aid decision making of health care
providers and the public by providing easily accessible health-related information at the …

Objectives We examine recent published research on the extraction of information from
textual documents in the Electronic Health Record (EHR). Methods Literature review of the …

To facilitate and survey studies in automatic de-identification, as a part of the i2b2
(Informatics for Integrating Biology to the Bedside) project, authors organized a Natural …

The authors organized a Natural Language Processing (NLP) challenge on automatically
determining the smoking status of patients from information found in their discharge records …

Introduction. Routinely collected primary care data has underpinned research that has
helped define primary care as a specialty. In the early years of the discipline, data were …

In the field of syndromic surveillance, various sources are exploited for outbreak detection,
monitoring and prediction. This paper describes a study on queries submitted to a medical …

Natural language processing (NLP) aims to program machines to interpret human language
as humans do. It could quantify aspects of medical education that were previously amenable …

Objective: Human classification of diagnoses is a labor intensive process that consumes
significant resources. Most medical practices use specially trained medical coders to …

Background Critical limb ischemia (CLI) is a complication of advanced peripheral artery
disease (PAD) with diagnosis based on the presence of clinical signs and symptoms …

Objective Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects
millions of individuals worldwide. We developed a natural language processing (NLP) …