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cTAKES

Apache cTAKES: clinical Text Analysis and Knowledge Extraction System is an open-source natural language processing system for information extraction… Expand
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Papers overview

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2018
2018
In this paper we present our participation as SINAI research group from the Universidad de Jaén at Task 3 “Consumer Health Search… Expand
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2017
2017
Objective: We investigate whether deep learning techniques for natural language processing (NLP) can be used efficiently for… Expand
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2017
2017
The development of diagnostic decision support systems (DDSS) requires having a reliable and consistent knowledge base about… Expand
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2016
2016
The tremendous quantity of data stored daily in healthcare institutions demands the development of new methods to summarize and… Expand
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2015
2015
Introduction Named entity recognition (NER) is essentially a solved problem for information extraction in the general domain… Expand
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2014
2014
This paper describes an information extraction system de- veloped by team Hitachi for "Disease/Disorder Template filling" task or… Expand
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2013
2013
We participated Task 1 using an existing system MedTagger implemented in integrated cTAKES (icTAKES). The concept mention… Expand
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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… Expand
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2013
2013
The increasing use of electronic health records (EHR) has allowed for an unprecedented ability to perform analysis on patient… Expand
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