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README.md

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MIMIC-III is available on AWS (and MIMIC-IV will be available in the future). Use the below Launch Stack button to deploy access to the MIMIC-III dataset into your AWS account. This will give you real-time access to the MIMIC-III data in your AWS account without having to download a copy of the MIMIC-III dataset. It will also deploy a Jupyter Notebook with access to the content of this GitHub repository in your AWS account. Prior to launching this, please login to the [MIMIC PhysioNet website](https://mimic.mit.edu/), [input your AWS account number](https://physionet.org/settings/cloud/), and [request access to the MIMIC-III Clinical Database on AWS](https://physionet.org/projects/mimiciii/1.4/request_access/2).
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To start this deployment, click the Launch Stack button. On the first screen, the template link has already been specified, so just click next. On the second screen, provide a Stack name (letters and numbers) and click next, on the third screen, just click next. On the forth screen, at the bottom, there is a box that says **I acknowledge that AWS CloudFormation might create IAM resources.**. Check that box, and then click **Create**. Once the Stack has complete deploying, look at the **Outputs** tab of the AWS CloudFormation console for links to your Juypter Notebooks instance.
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To start this deployment, click the Launch Stack button. On the first screen, the template link has already been specified, so just click next. On the second screen, provide a Stack name (letters and numbers) and click next, on the third screen, just click next. On the forth screen, at the bottom, there is a box that says **I acknowledge that AWS CloudFormation might create IAM resources.**. Check that box, and then click **Create**. Once the Stack has complete deploying, look at the **Outputs** tab of the AWS CloudFormation console for links to your Jupyter Notebooks instance.
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[![cloudformation-launch-stack](/mimic-iii/buildmimic/aws-athena/cloudformation-launch-stack.png)](https://console.aws.amazon.com/cloudformation/home?region=us-east-1#/stacks/new?stackName=MIMIC&templateURL=https://aws-bigdata-blog.s3.amazonaws.com/artifacts/biomedical-informatics-studies/mimic-iii-athena.yaml)
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* Commit your changes to the forked repository.
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* Submit a pull request to the [MIMIC code repository](https://github.com/MIT-LCP/mimic-code), using the method described at: https://help.github.com/articles/using-pull-requests/
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We encourage users to share concepts they have extracted by writing code which generates a materialized view. These materialized views can then be used by researchers around the world to speed up data extraction. For example, ventilation durations can be acquired by creating the ventdurations view in [concepts/durations/ventilation_durations.sql](https://github.com/MIT-LCP/mimic-code/tree/new_consol/mimic-iii/concepts/durations/ventilation_durations.sql).
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We encourage users to share concepts they have extracted by writing code which generates a table. These derived tables can then be used by researchers around the world to speed up data extraction. See the [mimic-iv/concepts](mimic-iv/concepts/) folder for examples.
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### License
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