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The data set we'll be using in the midterm assignment, ClaimsData.csv , is structured to represent a sample of patients in the Medicare program, which
The data set we'll be using in the midterm assignment, ClaimsData.csv is structured to
represent a sample of patients in the Medicare program, which provides health insurance to
Americans aged and older, as well as some younger people with certain medical conditions.
The observations represent a random sample of Medicare beneficiaries, limited to those
still alive at the end of
Our independent variables are from and we will be predicting cost in
Our independent variables are the patient's age in years at the end of and then several
binary variables indicating whether or not the patient had diagnosis codes for a particular
disease or related disorder in : alzheimers, arthritis, cancer, chronic obstructive pulmonary
disease, or copd, depression, diabetes, heart.failure, ischemic heart disease, or ihd, kidney
disease, osteoporosis, and stroke.
Each of these variables will take value if the patient had a diagnosis code for the particular
disease and value otherwise.
Reimbursement is the total amount of Medicare reimbursements for this patient in
And reimbursement is the total value of all Medicare reimbursements for the patient in
Bucket is the cost bucket the patient fell into in and bucket is the cost bucket
the patient fell into in
These cost buckets are defined using the thresholds determined by data supplier.
So the first cost bucket contains patients with costs less than $ the second cost bucket
contains patients with costs between $ and $ the third cost bucket contains
patients with costs between $ and $ and the fourth cost bucket contains patients
with costs between $ and $ and fifth cost bucket contains patients greater than
$
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