Commit 3dc1ef95 authored by Shengpu Tang (tangsp)'s avatar Shengpu Tang (tangsp)
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Update README.md

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Requires python 3.6 or above. Required packages and versions are listed in `requirements.txt`. Older versions may still work but have not been tested.
Note: This README contains latex equations and is best viewed on GitLab.
## Publications & Resources
- Michael W. Sjoding, Shengpu Tang, Parmida Davarmanesh, Yanmeng Song, Danai Koutra, and Jenna Wiens. <b>[Democratizing EHR Analyses - a Comprehensive, Generalizable Pipeline for Learning from Clinical Data](https://www.mlforhc.org/s/Sjoding-jete.pdf)</b>. Presented at MLHC <i>([Machine Learning for Healthcare](https://www.mlforhc.org/), Clinical Abstract)</i>, 2019.
- [Poster](https://umich.box.com/s/c6rqkpd2t7gdagbjn0l5cuhaobq5zfoo)
- [Spotlight presentation](https://www.ustream.tv/recorded/123483299) @59:35
- [MiCHAMP talk](https://umich.box.com/s/6jsrspsuj1hqldkpohv3fyz73p4902po)
- Our journal paper is currently under review by JAMIA and will be made available soon
## Usage Notes
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## Experiments
In order to show the flexibility and utility of FIDDLE, swe conducted several experiments using data from MIMIC-III. The code to reproduce the results are located in the `mimic3_experiments` subdirectory.
In order to show the flexibility and utility of FIDDLE, we conducted several experiments using data from MIMIC-III and eICU. The code to reproduce the results are located at https://gitlab.eecs.umich.edu/MLD3/FIDDLE_experiments. The experiments were performed using FIDDLE v0.1.0 and reported in the JAMIA paper; bug fixes and new functionalities have since been implemented and may affect the numerical results.
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