medical_charges_nominal
OpenML dataset with id 42559
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/21854627/medical_charges_nominal.arff
Upload date: 25 June 2020
Dataset Characteristics
Number of classes: 0
Number of features: 12 (numeric: 4, symbolic: 8 and in total binary: 0 )
Number of instances: 163,065
Number of instances with missing values: 0
Number of missing values: 0
Author: Centers for Medicare & Medicaid Services Source: original - 14-08-2018 Please cite: Patricio Cerda, Gael Varoquaux, Balazs Kegl. Similarity encoding for learning with dirty categorical variables. 2018. Machine Learning journal, Springer.
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-specificcharges 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.
This page was built for dataset: medical_charges_nominal
