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.