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# PhysioNet 2012 Challenge dataset #
### Raw data###
* /rawdata/
* Raw data: set-a, set-b, set-c, Outcomes-a.txt, Outcomes-b.txt, Outcomes-c.txt
* Data source: https://www.physionet.org/content/challenge-2012/1.0.0/
### Data parsing (process_scripts) ###
Run following scripts in turn:
* /process_scripts/
* ParseData.py : generate arr\_outcomes.npy, ts\_params.npy, static\_params.npy, and P\_list.npy
* IrregularSampling.py: generate: extended\_static\_params.npy, PTdict\_list.npy
* Generate\_splitID.py: generate phy12\_splitX.npy where X range from 1 to 5. Only contains the IDs. Train/val/test = 9:1:1
Note: PTdict\_list.npy and arr\_outcomes.npy are the most important files.
### Processed data ###:
* /processed_data/
* PTdict_list.npy
* arr_outcomes.npy
* ts_params.npy
* extended_static_params.npy
* static_params.npy
* P_list.npy
* /splits/
* phy12\_splitsX.npy where X range from 1 to 5. In splits folder: there are 5 npy files, each contains three array representing idx\_train,idx\_val,and idx\_test.
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