Abstract Background The Sixth Informatics for Integrating Biology and the Bedside (i2b2)
Natural Language Processing Challenge for Clinical Records focused on the temporal …

Background Concept extraction, a subdomain of natural language processing (NLP) with a
focus on extracting concepts of interest, has been adopted to computationally extract clinical …

Existing general clinical natural language processing (NLP) systems such as MetaMap and
Clinical Text Analysis and Knowledge Extraction System have been successfully applied to …

Objective This paper describes the University of Michigan's nine-year experience in
developing and using a full-text search engine designed to facilitate information retrieval (IR) …

Background Entity recognition is one of the most primary steps for text analysis and has long
attracted considerable attention from researchers. In the clinical domain, various types of …

Heart disease remains the major cause of death, despite recent improvements in prediction
and prevention. Risk factor identification is the main step in diagnosing and preventing heart …

With the completion of the Human Genome Project1 as well as recent advances in genomic
science and comparative biological studies, a new era of individualized medicine is evolving …

Narratives are present in many forms of human expression and can be understood as a
fundamental way of communication between people. Computational understanding of the …

Abstract Clinical Named Entity Recognition (NER) is a critical natural language processing
(NLP) task to extract important concepts (named entities) from clinical narratives …

Electronic health records (EHRs) are becoming a vital source of data for healthcare quality
improvement, research, and operations. However, much of the most valuable information …