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medical_charges

medical_charges

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The Inpatient Utilization and Payment Public Use File (Inpatient PUF) provides information on inpatient discharges for Medicare fee-for-service beneficiaries. The Inpatient PUF includes information on utilization, payment (total payment and Medicare payment), and hospital-specific charges for the more than 3,000 U.S. hospitals that receive Medicare Inpatient Prospective Payment System (IPPS) payments. The PUF is organized by hospital and Medicare Severity Diagnosis Related Group (MS-DRG) and covers Fiscal Year (FY) 2011 through FY 2016.

12 features

Average_Total_Payments (target)numeric154891 unique values
0 missing
DRG_Definitionnominal100 unique values
0 missing
Provider_Idnumeric3337 unique values
0 missing
Provider_Namestring3201 unique values
0 missing
Provider_Street_Addressstring3326 unique values
0 missing
Provider_Citystring1977 unique values
0 missing
Provider_Statenominal51 unique values
0 missing
Provider_Zip_Codenumeric3053 unique values
0 missing
Hospital_Referral_Region_(HRR)_Descriptionstring306 unique values
0 missing
Total_Dischargesnumeric642 unique values
0 missing
Average_Covered_Chargesnumeric161985 unique values
0 missing
Average_Medicare_Paymentsnumeric157817 unique values
0 missing

19 properties

163065
Number of instances (rows) of the dataset.
12
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
6
Number of numeric attributes.
2
Number of nominal attributes.
16.67
Percentage of nominal attributes.
-1978.31
Average class difference between consecutive instances.
50
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Average_Total_Payments
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