https://github.com/lren-chuv/i2b2-flattening
Generate a flat CSV file from an I2B2 data (containing brain features, demographic data, etc).
https://github.com/lren-chuv/i2b2-flattening
data-factory
Last synced: 3 months ago
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Generate a flat CSV file from an I2B2 data (containing brain features, demographic data, etc).
- Host: GitHub
- URL: https://github.com/lren-chuv/i2b2-flattening
- Owner: LREN-CHUV
- License: apache-2.0
- Created: 2017-04-19T17:07:46.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2024-07-10T04:27:41.000Z (11 months ago)
- Last Synced: 2025-01-19T15:34:15.669Z (4 months ago)
- Topics: data-factory
- Language: Python
- Size: 39.1 KB
- Stars: 0
- Watchers: 5
- Forks: 1
- Open Issues: 14
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
[](https://www.codacy.com/app/mirco-nasuti/i2b2-flattening?utm_source=github.com&utm_medium=referral&utm_content=LREN-CHUV/i2b2-flattening&utm_campaign=Badge_Grade)
[](https://github.com/LREN-CHUV/i2b2-flattening/blob/master/LICENSE)
[](https://www.unil.ch/lren/en/home.html)# I2B2 to Flat CSV
## Introduction
This is a tool to generate a flat CSV file containing brain features read from an I2B2 DB.
## Usage
Run: `docker run --rm -v :/input_folder -v :/output_folder hbpmip/i2b2-flattening
--dataset_prefix
--output_file
--volumes_list_file
--scores_list_file `Note that if you do not use custom volumes/scores files, there is no need to mount an input_folder volume.