Dataset Card for Mimic 4 Dutch Translation Marianmt

This dataset was created by: Laboratory for Computational Physiology, MIT Institute for Medical Engineering and Science, in collaboration with the Beth Israel Deaconess Medical Center in Boston, Massachusetts.

The original data source: PhysioNet

Data description

Translation of MIMIC 4 using MariaNMT with vanilla settings.

Note: this version contains spurious repetitions that will need to be filtered using e.g. regular expressions. A better translation will be uploaded and linked in this dataset.

Terms of usage

To access this data, you will need to register at PhysioNet.org, and request access to MIMIC IV.

If I am granted access to the database:

    I will not attempt to identify any individual or institution referenced in PhysioNet restricted data.
    I will exercise all reasonable and prudent care to avoid disclosure of the identity of any individual or institution referenced in PhysioNet restricted data in any publication or other communication.
    I will not share access to PhysioNet restricted data with anyone else.
    I will exercise all reasonable and prudent care to maintain the physical and electronic security of PhysioNet restricted data.
    If I find information within PhysioNet restricted data that I believe might permit identification of any individual or institution, I will report the location of this information promptly by email to [email protected], citing the location of the specific information in question.
    I have requested access to PhysioNet restricted data for the sole purpose of lawful use in scientific research, and I will use my privilege of access, if it is granted, for this purpose and no other.
    I have completed a training program in human research subject protections and HIPAA regulations, and I am submitting proof of having done so.
    I will indicate the general purpose for which I intend to use the database in my application.
    If I openly disseminate my results, I will also contribute the code used to produce those results to a repository that is open to the research community.
    This agreement may be terminated by either party at any time, but my obligations with respect to PhysioNet data shall continue after termination.

Reference

The work received funding from the European Union's Horizon Europe research and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).

For more information on the background, see Datatools4Heart Huggingface/Website/Git

If you use this dataset, please cite:

@inproceedings{junczys2018marian,
  title={Marian: Fast Neural Machine Translation in C++},
  author={Junczys-Dowmunt, Marcin and Grundkiewicz, Roman and Dwojak, Tomasz and Hoang, Hieu and Heafield, Kenneth and Neckermann, Tom and Seide, Frank and Germann, Ulrich and Aji, Alham Fikri and Bogoychev, Nikolay and others},
  booktitle={56th Annual Meeting of the Association for Computational Linguistics},
  pages={116--121},
  year={2018},
  organization={Association for Computational Linguistics}
}

@article{johnson2023mimic,
  title={MIMIC-IV, a freely accessible electronic health record dataset},
  author={Johnson, Alistair EW and Bulgarelli, Lucas and Shen, Lu and Gayles, Alvin and Shammout, Ayad and Horng, Steven and Pollard, Tom J and Hao, Sicheng and Moody, Benjamin and Gow, Brian and others},
  journal={Scientific data},
  volume={10},
  number={1},
  pages={1},
  year={2023},
  publisher={Nature Publishing Group UK London}
}

@article{goldberger2000physiobank,
  title={PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals},
  author={Goldberger, Ary L and Amaral, Luis AN and Glass, Leon and Hausdorff, Jeffrey M and Ivanov, Plamen Ch and Mark, Roger G and Mietus, Joseph E and Moody, George B and Peng, Chung-Kang and Stanley, H Eugene},
  journal={circulation},
  volume={101},
  number={23},
  pages={e215--e220},
  year={2000},
  publisher={Am Heart Assoc}
}

Acknowledgement