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johnsd pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/ctakes-website.git
The following commit(s) were added to refs/heads/main by this push:
new 14be078 adding an intro.html
14be078 is described below
commit 14be0787fcee6b861fc44638b0978c65d434a06e
Author: Johnsd11 <[email protected]>
AuthorDate: Thu Jun 15 15:48:16 2023 -0400
adding an intro.html
---
_layouts/default.html | 2 +-
intro.html | 14 ++++++++++++++
2 files changed, 15 insertions(+), 1 deletion(-)
diff --git a/_layouts/default.html b/_layouts/default.html
index 3033020..3cb6b1a 100644
--- a/_layouts/default.html
+++ b/_layouts/default.html
@@ -1,7 +1,7 @@
<!DOCTYPE html>
<html lang="en">
<head>
- <meta http-equiv="refresh" content="7; url='https://www.w3docs.com'" />
+ <!--<meta http-equiv="refresh" content="7; url='https://www.w3docs.com'"
/>-->
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{% if page.title %}{{ page.title }}{% else %}{{ site.title }}{%
endif %}</title>
diff --git a/intro.html b/intro.html
new file mode 100644
index 0000000..a4ba501
--- /dev/null
+++ b/intro.html
@@ -0,0 +1,14 @@
+---
+layout: default
+title: Introduction
+permalink: /intro/
+---
+
+<div class="centered-paragraph">
+ <p> The Apache™ clinical Text Analysis and Knowledge Extraction System
(cTAKES™) focuses on extracting knowledge from clinical text through Natural
Language Processing (NLP) techniques.</p>
+ <p> cTAKES is engineered in a modular fashion and employs leading-edge
rule-based and machine learning methods.</p>
+ <p> cTAKES has standard features for biomedical text processing software,
including the ability to extract concepts such as symptoms, procedures,
diagnoses, medications and anatomy with attributes and standard codes.</p>
+ <p> More powerful components can perform tasks as complex as identifying
temporal events, dates and times – resulting in placement of events in a
patient timeline.</p>
+ <p> Components are trained on gold standards from the biomedical as well
as the general domain. This affords usability across different types of
clinical narrative (e.g. radiology reports, clinical notes, discharge
summaries) in various institution formats as well as other types of
health-related narrative (e.g. twitter feeds), using multiple data standards
(e.g. Health Level 7 (HL7), Clinical Document Architecture (CDA), Fast
Healthcare Interoperability Resources (FHIR), SNOMED-CT, [...]
+ <p> cTAKES is the NLP platform for many initiatives across the world
covering a variety of research purposes and large datasets. Contributors
include professionals at medical and commercial institutions, NLP and Machine
Learning researchers, Medical Doctors, and students of many disciplines and
levels. We encourage people from all backgrounds to get involved!</p>
+</div>
\ No newline at end of file
