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Copy file name to clipboardExpand all lines: jekyll-site/_docs/gettingstarted/cloud/bigquery.md
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At this point you are ready to use MIMIC on BigQuery!
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A tutorial on using BigQuery to query MIMIC-III is available [here](/docs/iii/tutorials/intro-to-mimic-iii-bq).
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A tutorial on using BigQuery to query MIMIC-III is available [here]({{ "/docs/iii/tutorials/intro-to-mimic-iii-bq" | relative_url }}).
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Note that we have a number of pre-generated "views" of the data. These are available in the `mimiciv_derived` dataset which you are free to query. All code used to generate these views has been made openly available on the [MIMIC-IV code repository](https://github.com/MIT-LCP/mimic-iv/).
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# Google Cloud Storage
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The MIMIC databases are hosted on Google Cloud Storage (GCS). Access to the bucket, if available, can be requested via the PhysioNet project page. See [this page for more detail on this process](/docs/gettingstarted).
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The MIMIC databases are hosted on Google Cloud Storage (GCS). Access to the bucket, if available, can be requested via the PhysioNet project page. See [this page for more detail on this process]({{ "/docs/gettingstarted" | relative_url }}).
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## Linked account
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Once you have successfully linked a cloud account to your PhysioNet profile, the next step is to request access to [MIMIC](/docs/gettingstarted/cloud/request) for your cloud account.
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Once you have successfully linked a cloud account to your PhysioNet profile, the next step is to request access to [MIMIC]({{ "/docs/gettingstarted/cloud/request" | relative_url }}) for your cloud account.
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For MIMIC-IV, go to the [MIMIC-IV PhysioNet project page](https://physionet.org/content/mimiciv).
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Once there, scroll to the bottom to the "Files" section.
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*If* the page shows a restricted-access warning, you need to get access to [MIMIC](/docs/gettingstarted).
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*If* the page shows a restricted-access warning, you need to get access to [MIMIC]({{ "/docs/gettingstarted" | relative_url }}).
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Otherwise, you should see the following:
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Once you have been granted access to a cloud resource, the next step is to navigate to that resource in the cloud.
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* For the GCP Storage Bucket, click the link e-mailed to you.
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* For BigQuery, see the [BigQuery page](../bigquery). You may also be interested in the [querying tutorial on BigQuery] for [MIMIC-III](/docs/iii/tutorials/intro-to-mimic-iii-bq//) or [MIMIC-IV](/docs/iv/tutorials/bigquery/).
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* For BigQuery, see the [BigQuery page](../bigquery). You may also be interested in the [querying tutorial on BigQuery] for [MIMIC-III]({{ "/docs/iii/tutorials/intro-to-mimic-iii-bq/" | relative_url }}) or [MIMIC-IV]({{ "/docs/iv/tutorials/bigquery/" | relative_url }}).
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* AWS access is currently unavailable for MIMIC-IV, but planned.
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Once you have access to MIMIC, we highly recommend you read the respective database introduction: [MIMIC-III](/docs/iii), [MIMIC-IV](/docs/iv/).
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Once you have access to MIMIC, we highly recommend you read the respective database introduction: [MIMIC-III]({{ "/docs/iii" | relative_url }}), [MIMIC-IV]({{ "/docs/iv/" | relative_url }}).
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## PhysioNet
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Once your [application to access MIMIC](/docs/gettingstarted/) has been approved, you will be granted access to the 'MIMIC-III Clinical Database' project page on PhysioNet:
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Once your [application to access MIMIC]({{ "/docs/gettingstarted/" | relative_url }}) has been approved, you will be granted access to the 'MIMIC-III Clinical Database' project page on PhysioNet:
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# Installing MIMIC-III in a local Postgres database
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Prerequisites: *This tutorial assumes that you have already completed the [steps required to gain access](/docs/gettingstarted) to the MIMIC dataset on PhysioNet.*
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Prerequisites: *This tutorial assumes that you have already completed the [steps required to gain access]({{ "/docs/gettingstarted" | relative_url }}) to the MIMIC dataset on PhysioNet.*
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Note that this install was written and tested using Mac OS X and Ubuntu 15.04. If you feel there are key details missing, please [raise an issue](https://github.com/MIT-LCP/mimic-website/issues) with your suggested improvements - we would love to incorporate them!
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Before proceeding with this tutorial you will need to:
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1. Download the MIMIC-III Clinical Database (see [here](/docs/gettingstarted/) for details on gaining access).
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1. Download the MIMIC-III Clinical Database (see [here]({{ "/docs/gettingstarted/" | relative_url }}) for details on gaining access).
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2. Place the MIMIC-III Clinical Database as either .csv or .csv.gz files somewhere on your local computer.
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3. Download the PostgreSQL scripts from [here](https://github.com/MIT-LCP/mimic-code/tree/main/mimic-iii/buildmimic/postgres) - only the files which end in `.sql` are required.
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### 2. Download the CSV data files
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Assuming that you have completed the [steps required to gain access](/docs/gettingstarted) to the MIMIC dataset, you should be able to access the CSV data files on PhysioNet at: https://physionet.org/content/mimiciii/.
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Assuming that you have completed the [steps required to gain access]({{ "/docs/gettingstarted" | relative_url }}) to the MIMIC dataset, you should be able to access the CSV data files on PhysioNet at: https://physionet.org/content/mimiciii/.
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Download these files to a local folder and decompress them if desired (it is possible to load the data directly into a database from compressed data files). The program `gzip` can be used to decompress the data (e.g. ```gzip -d *.gz```).
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Before proceeding with this guide you will need to:
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1. Download the MIMIC-III Clinical Database (see [here](/docs/gettingstarted) for details on gaining access).
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1. Download the MIMIC-III Clinical Database (see [here]({{ "/docs/gettingstarted" | relative_url }}) for details on gaining access).
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2. Extract the MIMIC-III Clinical Database as .csv files somewhere on your local computer.
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3. Download the PostgreSQL scripts from [here](https://github.com/MIT-LCP/mimic-code/tree/main/mimic-iii/buildmimic/postgres) - only the files which end in `.sql` are required.
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