MetaMap is a widely available program providing access to the concepts in the unified
medical language system (UMLS) Metathesaurus from biomedical text. This study reports on …

Abstract The Human Genome and MEDLINE are both the foci of intense data-mining efforts
worldwide. The biomedical literature has much to say about sequence, but it also seems that …

The UMLS Metathesaurus, the largest thesaurus in the biomedical domain, provides a
representation of biomedical knowledge consisting of concepts classified by semantic type …

Narrative reports in medical records contain a wealth of information that may augment
structured data for managing patient information and predicting trends in diseases. Pertinent …

Clinical documentation is central to patient care. The success of electronic health record
system adoption may depend on how well such systems support clinical documentation. A …

Objective: The aim of this study was to develop a method based on natural language
processing (NLP) that automatically maps an entire clinical document to codes with …

This series is directed to healthcare professionals who are leading the transfor-tion of health
care by using information and knowledge to advance the quality of patient care. Launched in …

Objectives: To test the hypothesis that most instances of negated concepts in dictated
medical documents can be detected by a strategy that relies on tools developed for the …

Text mining of scientific libraries and social media has already proven itself as a reliable tool
for drug repurposing and hypothesis generation. The task of mapping a disease mention to …

Objective: Negation is common in clinical documents and is an important source of poor
precision in automated indexing systems. Previous research has shown that negated terms …