Apache cTAKES

[Apache cTAKES @apachectakes]

Thanks to all those who attended the cTAKES Docker meetup.

[Apache cTAKES @apachectakes]

Interesting paper using @apachectakes to extract concepts from social media [PDF]:
http://t.co/iGmZA2q0ah

[Apache cTAKES @apachectakes]

Working with the next generation on improving our healthcare system. https://t.co/pfoW0WpuOx

[Apache cTAKES @apachectakes]

#PLOSONE: Negation’s Not Solved: Generalizability Versus Optimizability in Clinical Natural Language Processing http://t.co/KQ4LsBrf3u

[i2b2 Experts @i2b2]

Steven Bethard gives keynote at i2b2 AUG Annual Conference ...: Steven Bethard gives keynote at i2b2 AUG Annua... http://t.co/bnsdTeoTXs

[Apache cTAKES @apachectakes]

Apache #cTAKES paper received the highest number of citations award contributing to the JAMIA impact factor-AIMA 2013.http://t.co/n4FOPx40EX

[Apache cTAKES @apachectakes]

Jyoti illustrates normalization and standardization of EHR for high-throughput phenotyping with #Apache #cTAKES http://t.co/G6JHZ9fEI9

[Apache cTAKES @apachectakes]

Dima illustrates how you can extract UMLS relations (locations/severity) from the EHR using Apache cTAKES. http://t.co/8Amt26OAGD

[Apache cTAKES @apachectakes]

#Apache #cTAKES releases 3.1.0. Available at: http://t.co/6tJcH1utCS

[Apache cTAKES @apachectakes]

Chen Lin illustrates how you can automatically predict RA disease activity from #EHR using Apache #cTAKES. http://t.co/uyJl8nZCqT

[Apache cTAKES @apachectakes]

We're mentoring projects for #GSoC. See http://t.co/iCy6oeGYrd for Apache #CTAKES projects.

[Apache - The ASF @TheASF]

The Apache Software Foundation Announces #Apache #cTAKES™ as a Top-Level Project http://t.co/tHqDCOWYLt #OpenSource #NLP #Medical #Records

[Apache cTAKES @apachectakes]

@ctakes Hi. We are an open source software project called ctakes. Would it be possible for us to use your @ctakes handle? Thanks.

[Tim O'Reilly @timoreilly]

Apache cTAKES - http://t.co/IlVk5rYFhh Open Source natural language processing (NLP) for info extraction from electronic medical records