The Medical Imaging Working Group (MI WG) for the OHDSI community was
formed in 2021, comprised of imaging research scientists and
observational health researchers familiar with OMOP CDM. The working
@@ -302,7 +303,6 @@
Background
other phenotypes. A prototype using CT lung nodules was developed and
demonstrated at the 2023 Society of Imaging Informatics in Medicine
(SIIM) conference Hackathon.
-
diff --git a/docs/index.html b/docs/index.html
index 819c691..2bfd088 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -13,7 +13,7 @@
OHDSI Medical Image WG
-
+
@@ -371,6 +371,7 @@
+
Mission
The OHDSI Medical Imaging Working Group aims to represent medical
diff --git a/docs/site_libs/header-attrs-2.24/header-attrs.js b/docs/site_libs/header-attrs-2.24/header-attrs.js
new file mode 100644
index 0000000..dd57d92
--- /dev/null
+++ b/docs/site_libs/header-attrs-2.24/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+ var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+ var i, h, a;
+ for (i = 0; i < hs.length; i++) {
+ h = hs[i];
+ if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6
+ a = h.attributes;
+ while (a.length > 0) h.removeAttribute(a[0].name);
+ }
+});
diff --git a/rmd/Approach.Rmd b/rmd/Approach.Rmd
index 3024797..8288653 100644
--- a/rmd/Approach.Rmd
+++ b/rmd/Approach.Rmd
@@ -10,24 +10,18 @@ output:
-The medical imaging extension proposal represents imaging characteristics through two new tables—Image_occurrence and Image_features.
-![](https://github.com/jinwooyoon/edi_test/assets/84831718/8be9ce62-9f1b-408f-9af8-687237fd20d1)
-
-
-
+## **Representation**
+The medical imaging extension proposal represents imaging characteristics through two new tables—Image_occurrence and Image_features.
+![](https://github.com/jinwooyoon/edi_test/assets/84831718/8be9ce62-9f1b-408f-9af8-687237fd20d1)
-![](https://github.com/jinwooyoon/edi_test/assets/84831718/e9df1b32-e57a-4bc0-ba6f-74afde55bdf9)
+![](https://github.com/jinwooyoon/ImageWG/assets/84831718/223c1512-2124-400d-84bb-c054ddbb8d29)
-## **Representation**
-
-
-
## **Schema**
diff --git a/rmd/background.Rmd b/rmd/background.Rmd
index 2ead823..ebc4d38 100644
--- a/rmd/background.Rmd
+++ b/rmd/background.Rmd
@@ -2,10 +2,9 @@
title: '
Background
'
output: html_document
---
-The Medical Imaging Working Group (MI WG) for the OHDSI community was formed in 2021, comprised of imaging research scientists and observational health researchers familiar with OMOP CDM. The working group evaluated standard vocabularies, defined fields containing key imaging events, and identified limitations of the model. The working group started with the R-CDM in the development of the medical imaging extension. Imaging researchers across the field were consulted to gather requirements and gain insights into the structure and usability of the proposed model. The principal clinical use case focused on longitudinal tracking of multiple lung nodules. Important attributes included CT acquisition parameters, nodule diameter, location, density, shape, and other phenotypes. A prototype using CT lung nodules was developed and demonstrated at the 2023 Society of Imaging Informatics in Medicine (SIIM) conference Hackathon.
-
-
+
+The Medical Imaging Working Group (MI WG) for the OHDSI community was formed in 2021, comprised of imaging research scientists and observational health researchers familiar with OMOP CDM. The working group evaluated standard vocabularies, defined fields containing key imaging events, and identified limitations of the model. The working group started with the R-CDM in the development of the medical imaging extension. Imaging researchers across the field were consulted to gather requirements and gain insights into the structure and usability of the proposed model. The principal clinical use case focused on longitudinal tracking of multiple lung nodules. Important attributes included CT acquisition parameters, nodule diameter, location, density, shape, and other phenotypes. A prototype using CT lung nodules was developed and demonstrated at the 2023 Society of Imaging Informatics in Medicine (SIIM) conference Hackathon.
diff --git a/rmd/index.Rmd b/rmd/index.Rmd
index eb98383..ec53e3b 100644
--- a/rmd/index.Rmd
+++ b/rmd/index.Rmd
@@ -8,7 +8,7 @@ output:
collapsed: false
---
-
+
## **Mission**