InterpretableMachineLearning2020
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Dataset: Medical Expenditure Panel Survey
Problem
This is a regression problem. On the basis of historical data, models (of varying degrees of complexity) should be developed to predict the expenses related to medical treatments (pricing). The best models should be explained using XAI tools at the instance level and at the data set level.
Data
The data can be downloaded from the MEPS website https://meps.ahrq.gov/mepsweb/ MEPS is the most complete source of data on the cost and use of health care and health insurance coverage
Example solution
An interesting use-case related to this data is available at AIX360 website https://nbviewer.jupyter.org/github/IBM/AIX360/blob/master/examples/tutorials/MEPS.ipynb#LinRR