# # # # #  support.h5  # # # # # 


# - - Description - - #

Study to Understand Prognoses Preferences Outcomes and Risks of Treatment


# - - Info - - #

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 8873 entries, 0 to 8872
Data columns (total 16 columns):
 #   Column  Non-Null Count  Dtype  
---  ------  --------------  -----  
 0   0       8873 non-null   float32
 1   1       8873 non-null   float32
 2   2       8873 non-null   float32
 3   3       8873 non-null   float32
 4   4       8873 non-null   float32
 5   5       8873 non-null   float32
 6   6       8873 non-null   float32
 7   7       8873 non-null   float32
 8   8       8873 non-null   float32
 9   9       8873 non-null   float32
 10  10      8873 non-null   float32
 11  11      8873 non-null   float32
 12  12      8873 non-null   float32
 13  13      8873 non-null   float32
 14  event   8873 non-null   int32  
 15  time    8873 non-null   float32
dtypes: float32(15), int32(1)
memory usage: 554.7 KB



# - - Stats - - #

                 0            1            2            3            4            5            6           7            8            9           10           11           12           13        event         time
count  8873.000000  8873.000000  8873.000000  8873.000000  8873.000000  8873.000000  8873.000000  8873.00000  8873.000000  8873.000000  8873.000000  8873.000000  8873.000000  8873.000000  8873.000000  8873.000000
mean     62.627502     0.437056     1.868477     1.249408     0.194185     0.032345     0.937338    84.52874    97.476204    23.355911    37.112209   137.565536    12.354897     1.776328     0.680266   478.635406
std      15.618359     0.496050     1.342225     0.618604     0.395594     0.176925     0.579671    27.82461    31.697252     9.626911     1.255770     6.070577     9.273233     1.694021     0.466400   560.831604
min      18.041990     0.000000     0.000000     0.000000     0.000000     0.000000     0.000000     0.00000     0.000000     0.000000    31.699221   110.000000     0.000000     0.099991     0.000000     3.000000
25%      52.746979     0.000000     1.000000     1.000000     0.000000     0.000000     1.000000    63.00000    72.000000    18.000000    36.195309   134.000000     7.000000     0.899902     0.000000    26.000000
50%      64.831970     0.000000     2.000000     1.000000     0.000000     0.000000     1.000000    77.00000   100.000000    24.000000    36.695309   137.000000    10.599609     1.199951     1.000000   231.000000
75%      74.033997     1.000000     3.000000     1.000000     0.000000     0.000000     1.000000   107.00000   120.000000    28.000000    38.195309   141.000000    15.298828     1.899902     1.000000   763.000000
max     101.847961     1.000000     9.000000     5.000000     1.000000     1.000000     2.000000   195.00000   300.000000    90.000000    41.695309   181.000000   200.000000    21.500000     1.000000  2029.000000


# - - Reference - - #

https://github.com/jaredleekatzman/DeepSurv/blob/master/experiments/data/support/support_train_test.h5