microsoft
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Chestist
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Integrate FHIR with ML to identify areas of interest on patient thoracic X-rays.
99 коммитов 15 Ветки 0 Теги 1,2 MiB
JavaScript 38.7%
Python 29.3%
TypeScript 14.9%
Bicep 9%
HTML 3.8%
Разное 4.2%
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Phil Jirsa e4c4215597
Merge pull request #44 from microsoft/discord-callout 
Add callout to readme for Discord server
 		2023-01-31 07:45:15 -06:00
.github/workflows Update azure.yml 2021-09-23 13:33:24 -05:00
Chestist.Imaging.Api add solution file 2021-09-23 10:09:12 -05:00
chestist-smart-app bump npm versions for dependabot 2022-02-23 13:29:35 -06:00
dashboard update chestist app to use nginx host 2021-09-15 18:58:24 -05:00
data script to download data 2021-09-13 16:55:14 -05:00
deploy add bicep for image-api 2021-09-23 12:23:40 -05:00
growth-chart-app add grow-chart docker 2021-09-15 16:02:10 -05:00
model adding model 2021-09-28 13:45:43 -05:00
.gitignore update for hls-hack tenant 2021-09-14 07:47:43 -05:00
CODE_OF_CONDUCT.md CODE_OF_CONDUCT.md committed 2021-09-13 12:38:59 -07:00
LICENSE LICENSE committed 2021-09-13 12:39:00 -07:00
README.md Add callout to readme for Discord server 2023-01-30 19:57:11 -05:00
SECURITY.md SECURITY.md committed 2021-09-13 12:39:01 -07:00
SUPPORT.md SUPPORT.md committed 2021-09-13 12:39:02 -07:00

README.md

Checkout our other projects!

Chestist

This project uses a sample dataset of chest X-rays from the NIH to train a CNN model. The goal is for the model to learn how to detect anomolies and areas of interest.

Other components of the solution include:

  • Sample EMR dashboard to view patient details
  • Chestist web interface SMART on FHIR app to work with Chestist data in the context of a selected patient
  • Imaging-API Azure Function to securely fetch images from an Azure Storage account

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Community Discord

If you are interested in projects like this or connecting with the health and life sciences developer community, please join our Discord server at https://aka.ms/HLS-Discord. We're a technology agnostic community seeking to share and collaborate on all things related to developing healthcare solutions. For in-depth questions specific to this project, please use the "Discussions" tab on GitHub. We welcome your thoughts and feedback.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.