code: def load_stanford_heart_transplants(**kwargs):
      """
      This is a classic dataset for survival regression with time
      varying covariates. The original dataset is from [1], and
      this dataset is from R's survival library.::
  
          Size: (172, 8)
          Example:
              start  stop  event        age      year  surgery  transplant  id
                0.0  50.0      1 -17.155373  0.123203        0           0   1
                0.0   6.0      1   3.835729  0.254620        0           0   2
                0.0   1.0      0   6.297057  0.265572        0           0   3
                1.0  16.0      1   6.297057  0.265572        0           1   3
                0.0  36.0      0  -7.737166  0.490075        0           0   4
  
      References
      ----------
      [1] J Crowley and M Hu. Covariance analysis of heart transplant survival data. J American
          Statistical Assoc, 72:27–36, 1977.
  
      """
      return _load_dataset("stanford_heart.csv", **kwargs)
  
imports: import pandas
  from importlib import resources
label_desc: Use image node_id 20 for calling a global function with example usage: load_stanford_heart_transplants() and returns: _load_dataset