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PhysioNet 2012 Challenge dataset

Raw data###

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.