Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …

The importance of incorporating Natural Language Processing (NLP) methods in clinical
informatics research has been increasingly recognized over the past years, and has led to …

Objective This article summarizes the preparation, organization, evaluation, and results of
Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on …

Entity extraction is a fundamental step in many health informatics systems. In recent years,
tools such as MetaMap and cTAKES have been widely used for medical concept extraction …

Objective To identify and synthesise research on applications of natural language
processing (NLP) for information extraction and retrieval from clinical notes in dentistry …

In this paper, we provide an overview of the seventh annual edition of the CLEF eHealth
evaluation lab. CLEF eHealth 2019 continues our evaluation resource building efforts …

The abundance and unstructured nature of biomedical texts, be it clinical or research
content, impose significant challenges for the effective and efficient use of information and …

In this paper we provide an overview of the fifth edition of the CLEF eHealth evaluation lab.
CLEF eHealth 2017 continues our evaluation resource building efforts around the easing …

Objective To provide a sco** review of papers on clinical natural language processing
(NLP) shared tasks that use publicly available electronic health record data from a cohort of …

This paper reports on Task 1 of the 2018 CLEF eHealth evaluation lab which extended the
previous information extraction tasks of ShARe/CLEF eHealth evaluation labs. The task …