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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… 
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Papers overview

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Highly Cited
2019
Highly Cited
2019
Review
2018
Review
2018
Author(s): Kuo, Tsung-Ting; Huh, Jina; Kim, Jihoon; El-Kareh, Robert; Singh, Siddharth; Feupe, Stephanie Feudjio; Kuri, Vincent… 
2017
2017
Data mapping among different data standards in health institutes is often a necessity when data exchanges occur among different… 
2016
2016
We propose a deep neural network based natural language processing system for clinical information (such as time information… 
2016
2016
This paper presents a system for the normalization of concept mentions in clinical narratives. We evaluate and compare it against… 
2016
2016
The tremendous quantity of data stored daily in healthcare institutions demands the development of new methods to summarize and… 
2014
2014
Electronic Health Records (EHR) and the constant adoption of Information Technologies in healthcare have dramatically increased… 
2014
2014
This paper describes an information extraction system de- veloped by team Hitachi for "Disease/Disorder Template filling" task or… 
2013
2013
We participated Task 1 using an existing system MedTagger implemented in integrated cTAKES (icTAKES). The concept mention… 
2013
2013
Abstract : The purpose of this proposal is to provide insight into gene environment interactions. It leverages the simplified…