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From build...@apache.org
Subject svn commit: r840734 - in /websites/staging/ctakes/trunk/content: ./ ctakes/index.html
Date Tue, 04 Dec 2012 15:55:13 GMT
Author: buildbot
Date: Tue Dec  4 15:55:12 2012
New Revision: 840734

Log:
Staging update by buildbot for ctakes

Modified:
    websites/staging/ctakes/trunk/content/   (props changed)
    websites/staging/ctakes/trunk/content/ctakes/index.html

Propchange: websites/staging/ctakes/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Tue Dec  4 15:55:12 2012
@@ -1 +1 @@
-1417004
+1417005

Modified: websites/staging/ctakes/trunk/content/ctakes/index.html
==============================================================================
--- websites/staging/ctakes/trunk/content/ctakes/index.html (original)
+++ websites/staging/ctakes/trunk/content/ctakes/index.html Tue Dec  4 15:55:12 2012
@@ -87,7 +87,7 @@
     <h1 id="welcome-to-apache-ctakes-incubating">Welcome to Apache cTAKES (incubating).</h1>
 <p>Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source
natural language processing system for information extraction from electronic medical record
clinical free-text. It processes clinical notes, identifying types of clinical named entities
from various dictionaries including the Unified Medical Language System (<a href="http://www.nlm.nih.gov/research/umls/">UMLS</a>)
- medications, diseases/disorders, signs/symptoms, anatomical sites and procedures. Each named
entity has attributes for the text span, the ontology mapping code, subject (patient, family
member, etc.) and context (negated/not negated, conditional, generic, degree of certainty).
Some of the attributes are expressed as relations, for example the location of a clinical
condition (locationOf relation) or the severity of a clinical condition (degreeOf relation).
</p>
 <p>Apache cTAKES was built using the Apache UIMA Unstructured Information Management
Architecture engineering framework and Apache OpenNLP natural language processing toolkit.
Its components are specifically trained for the clinical domain out of diverse manually annotated
datasets, and create rich linguistic and semantic annotations that can be utilized by clinical
decision support systems and clinical research. cTAKES has been used in a variety of use cases
in the domain of biomedicine such as phenotype discovery, translational science, pharmacogenomics
and pharmacogenetics.</p>
-<p>Apache cTAKES employs a number of rule-based and machine learning methods. Apache
cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES components
include:</p>
+<p>Apache cTAKES employs a number of rule-based and machine learning methods. Apache
cTAKES employs a number of rule-based and machine learning methods. Apache cTAKES <a href="components.html">components</a>
include:</p>
 <ol>
 <li>Sentence boundary detection</li>
 <li>Tokenization (rule-based)</li>



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