{
"bug-database": "https://github.com/apache/ctakes/issues",
"category": "content, library",
"created": "2024-05-22",
"description": "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 (UMLS) - 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).",
"doap": "http://svn.apache.org/repos/asf/ctakes/site/doap_cTAKES.rdf",
"download-page": "https://github.com/apache/ctakes/releases",
"homepage": "https://github.com/apache/ctakes",
"license": "https://spdx.org/licenses/Apache-2.0",
"name": "Apache cTAKES",
"pmc": "ctakes",
"programming-language": "Java, Python, Scala",
"release": [
{
"created": "2024-09-16",
"name": "cTAKES",
"revision": "6.0.0"
}
],
"repository": [
"https://svn.apache.org/repos/asf/ctakes/ctakes-models/trunk/",
"https://github.com/apache/ctakes"
],
"shortdesc": "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."
}