Loading demo data in either FHIR or MIMIC format

[sarahmish]

To get started with Cardea, it would be beneficial to explore multiple prediction tasks.

However, depending on the datasets, the possible prediction tasks may vary. Right now we demonstrate the missed appointment usecase using kaggle dataset. We can also use the MIMIC demo dataset to show some other usecases.

def load_demo(data="kaggle"):
""" Return a collection of .csv to load into an entityset.

Args:
    data (str):
        string determining which demo dataset to load
"""

[sujen]

@sarahmish is it possible to enrich the demo dataset with additional entities so as to be able to run "DiagnosticPrediction" problem.