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 …

While the biomedical informatics community widely acknowledges the utility of domain
ontologies, there remain many barriers to their effective use. One important requirement of …

We aim to build and evaluate an open-source natural language processing system for
information extraction from electronic medical record clinical free-text. We describe and …

Background Manually annotated corpora are critical for the training and evaluation of
automated methods to identify concepts in biomedical text. Results This paper presents the …

We introduce an extensible and modifiable knowledge representation model to represent
cancer disease characteristics in a comparable and consistent fashion. We describe a …

Coreference resolution is the task of determining linguistic expressions that refer to the same
real-world entity in natural language. Research on coreference resolution in the general …

ConceptMapper is an open source tool we created for classifying mentions in an
unstructured text document based on concept terminologies and yielding named entities as …

This study employs a bibliometric approach to analyse common research themes, high-
impact publications and research venues, identify the most recent transformative research …

Large volumes of data are continuously generated from clinical notes and diagnostic studies
catalogued in electronic health records (EHRs). Echocardiography is one of the most …

Restricted subsystems of language can arise spontaneously in a subject-matter domain
where speech or writing is used for special purposes. Alternatively, language restrictions …