cTAKES

Apache cTAKES: clinical Text Analysis and Knowledge Extraction System is an open-source natural language processing system for information extraction… (More)
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Topic mentions per year

Topic mentions per year

2010-2016
024620102016

Papers overview

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2017
2017
The development of diagnostic decision support systems (DDSS) requires having a reliable and consistent knowledge base about… (More)
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2014
2014
This paper describes an information extraction system developed by team Hitachi for “Disease/Disorder Template filling” task… (More)
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2013
2013
We participated Task 1 using an existing system MedTagger implemented in integrated cTAKES (icTAKES). The concept mention… (More)
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2013
2013
This paper describes the THCIB systems that used in the ShARe/CLEF eHealth 2013 task 1. We implemented two baseline systems and a… (More)
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2013
2013
Ontologies have become a central resource for defining biomedical concepts but linkage to and from textual data is still an… (More)
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2012
2012
Electronic Medical Records (EMRs) are valuable resources for clinical observational studies. Smoking status of a patient is one… (More)
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2012
2012
Clinical Natural Language Processing (NLP) systems extract clinical information from narrative clinical texts in many settings… (More)
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2011
2011
BACKGROUND Open-source clinical natural-language-processing (NLP) systems have lowered the barrier to the development of… (More)
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Highly Cited
2011
Highly Cited
2011
OBJECTIVE As clinical text mining continues to mature, its potential as an enabling technology for innovations in patient care… (More)
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Highly Cited
2010
Highly Cited
2010
We aim to build and evaluate an open-source natural language processing system for information extraction from electronic medical… (More)
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