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# Dataset |
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## Supported datasets |
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- [x] Tongji Hospital (aka. TJH dataset) |
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- [x] HM Hospital (aka. CDSL dataset) |
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## Folder structure |
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```shell |
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datasets/ |
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tongji/ |
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preprocess.py |
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raw_data/ |
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... |
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processed_data/ |
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fold_{i=0,1,2,...}/ |
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train/ |
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x.pkl |
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y.pkl |
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statistics.csv |
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val/ |
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x.pkl |
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y.pkl |
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test/ |
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x.pkl |
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y.pkl |
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hm/ |
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preprocess.py |
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... |
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``` |
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We also provide a Jupyter format pre-process script (`preprocess.ipynb`) |
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## TJH Dataset |
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> Refer: [An interpretable mortality prediction model for COVID-19 patients](https://www.nature.com/articles/s42256-020-0180-7) |
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### How to Access Data |
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Download Link: [Supplementary Data 1 Training and external test datasets](https://static-content.springer.com/esm/art%3A10.1038%2Fs42256-020-0180-7/MediaObjects/42256_2020_180_MOESM3_ESM.zip) (refer supplementary information of the paper above) |
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Or you can download raw data (Excel format) and processed data (Python PKL format) in GitHub Releases Assets. |
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## CDSL Dataset |
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You need to apply for the CDSL dataset if you need. [Link: Covid Data Save Lives Dataset](https://www.hmhospitales.com/coronavirus/covid-data-save-lives/english-version) |