

# Dataset Card for CARDIO.DE

## Dataset Description

- **Homepage:** https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/AFYQDY
- **Pubmed:** False
- **Public:** False
- **Tasks:** NER


We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses 500 clinical routine German doctor’s letters from Heidelberg University Hospital, which were manually annotated. Our prospective study design complies well with current data protection regulations and allows us to keep the original structure of clinical documents consistent. In order to ease access to our corpus, we manually de-identified all letters. To enable various information extraction tasks the temporal information in the documents was preserved. We added two high-quality manual annotation layers to CARDIO:DE, (1) medication information and (2) CDA-compliant section classes.


## Citation Information

```
@data{
    data/AFYQDY_2022,
    author = {Christoph Dieterich},
    publisher = {heiDATA},
    title = {{CARDIO:DE}},
    year = {2022},
    version = {V5},
    doi = {10.11588/data/AFYQDY},
    url = {https://doi.org/10.11588/data/AFYQDY}
}
```

multilinguality:monolingual language:ger license:other region:us
{"language": ["ger"], "license": "other", "multilinguality": "monolingual", "pretty_name": "CARDIO:DE", "bigbio_language": ["German"], "homepage": "https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/AFYQDY", "bigbio_pubmed": false, "bigbio_public": false, "bigbio_tasks": ["NAMED_ENTITY_RECOGNITION"]}
TAGS
#multilinguality-monolingual #language-German #license-other #region-us 



# Dataset Card for CARDIO.DE

## Dataset Description

- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER


We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses 500 clinical routine German doctor’s letters from Heidelberg University Hospital, which were manually annotated. Our prospective study design complies well with current data protection regulations and allows us to keep the original structure of clinical documents consistent. In order to ease access to our corpus, we manually de-identified all letters. To enable various information extraction tasks the temporal information in the documents was preserved. We added two high-quality manual annotation layers to CARDIO:DE, (1) medication information and (2) CDA-compliant section classes.






# Dataset Card for CARDIO.DE ## Dataset Description

- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER


We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses 500 clinical routine German doctor’s letters from Heidelberg University Hospital, which were manually annotated. Our prospective study design complies well with current data protection regulations and allows us to keep the original structure of clinical documents consistent. In order to ease access to our corpus, we manually de-identified all letters. To enable various information extraction tasks the temporal information in the documents was preserved. We added two high-quality manual annotation layers to CARDIO:DE, (1) medication information and (2) CDA-compliant section classes.
TAGS
#multilinguality-monolingual #language-German #license-other #region-us 
 # Dataset Card for CARDIO.DE ## Dataset Description

- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER


We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses 500 clinical routine German doctor’s letters from Heidelberg University Hospital, which were manually annotated. Our prospective study design complies well with current data protection regulations and allows us to keep the original structure of clinical documents consistent. In order to ease access to our corpus, we manually de-identified all letters. To enable various information extraction tasks the temporal information in the documents was preserved. We added two high-quality manual annotation layers to CARDIO:DE, (1) medication information and (2) CDA-compliant section classes.
passage: TAGS
#multilinguality-monolingual #language-German #license-other #region-us 
# Dataset Card for CARDIO.DE## Dataset Description

- Homepage: URL
- Pubmed: False
- Public: False
- Tasks: NER


We present CARDIO:DE, the first freely available and distributable large German clinical corpus from the cardiovascular domain. CARDIO:DE encompasses 500 clinical routine German doctor’s letters from Heidelberg University Hospital, which were manually annotated. Our prospective study design complies well with current data protection regulations and allows us to keep the original structure of clinical documents consistent. In order to ease access to our corpus, we manually de-identified all letters. To enable various information extraction tasks the temporal information in the documents was preserved. We added two high-quality manual annotation layers to CARDIO:DE, (1) medication information and (2) CDA-compliant section classes.