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Merge pull request #8 from OHDSI/webpage-dev
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Webpage dev
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jenpark10 authored Oct 19, 2023
2 parents fab0ae0 + 857f5a0 commit cd674b0
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7 changes: 3 additions & 4 deletions docs/Approach.html
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Expand Up @@ -372,16 +372,15 @@ <h1 class="title toc-ignore"><img src="images/ohdsi40x40.png"></img>Medical


<p><br></p>
<div id="representation" class="section level2">
<h2><strong>Representation</strong></h2>
<p>The medical imaging extension proposal represents imaging
characteristics through two new tables—Image_occurrence and
Image_features. <img
src="https://github.com/jinwooyoon/edi_test/assets/84831718/8be9ce62-9f1b-408f-9af8-687237fd20d1" /></p>
<p><br></p>
<p><img
src="https://github.com/jinwooyoon/edi_test/assets/84831718/e9df1b32-e57a-4bc0-ba6f-74afde55bdf9" /></p>
src="https://github.com/OHDSI/ImageWG/assets/84831718/9401804f-e6c8-4964-9a66-12fb7e0cd071" /></p>
<p><br></p>
<div id="representation" class="section level2">
<h2><strong>Representation</strong></h2>
</div>
<div id="schema" class="section level2">
<h2><strong>Schema</strong></h2>
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2 changes: 1 addition & 1 deletion docs/background.html
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Expand Up @@ -288,6 +288,7 @@ <h1 class="title toc-ignore"><img src="images/ohdsi40x40.png"></img>Background</
</div>


<p><br></p>
<p>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
Expand All @@ -302,7 +303,6 @@ <h1 class="title toc-ignore"><img src="images/ohdsi40x40.png"></img>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.</p>
<p><br> <br></p>



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1 change: 1 addition & 0 deletions docs/index.html
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Expand Up @@ -371,6 +371,7 @@ <h1 class="title toc-ignore"><img src="images/ohdsi40x40.png"></img>
</div>


<p><br></p>
<div id="mission" class="section level2">
<h2><strong>Mission</strong></h2>
<p>The OHDSI Medical Imaging Working Group aims to represent medical
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15 changes: 4 additions & 11 deletions rmd/Approach.Rmd
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<br>

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)

<br>

## **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/OHDSI/ImageWG/assets/84831718/9401804f-e6c8-4964-9a66-12fb7e0cd071)


<br>

## **Representation**




## **Schema**

### Image_occurrence
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6 changes: 3 additions & 3 deletions rmd/background.Rmd
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title: '<div><img src="images/ohdsi40x40.png"></img>Background</div>'
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.


<br>
<br>

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.



2 changes: 1 addition & 1 deletion rmd/index.Rmd
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collapsed: false
---


<br>

## **Mission**

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