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Table 2 Selected features from datasets

From: Investigating the relationship between time and predictive model maintenance

Dataset

Feature

Description

Part B\(^{\text {a}}\)

npi

Unique provider identification number

provider_type

Medical provider’s specialty (or practice)

nppes_provider_gender

Provider’s gender

line_srvc_cnt

Number of procedures/services the provider performed

bene_unique_cnt

Number of distinct Medicare beneficiaries receiving the service

bene_day_srvc_cnt

Number of distinct Medicare beneficiaries / per day service performed

average_submitted_chrg_amt

Average of the charges that the provider submitted for the service

average_medicare_payment_amt

Average payment made to a provider per claim for the service performed

Part D

npi

Unique provider identification number

specialty_description

Medical provider’s specialty (or practice)

bene_count

Number of distinct Medicare beneficiaries receiving the drug

total_claim_count

Number of drugs the provider administered

total_30_day_fill_count

Number of standardized 30-day fills

total_day_supply

Number of day’s supply

total_drug_cost

Cost paid for all associated claims

DMEPOS

referring_npi

Unique provider identification number

referring_provider_type

Medical provider’s specialty (or practice)

referring_provider_gender

Provider’s gender

number_of_suppliers

Number of suppliers used by provider

number_of_supplier_beneficiaries

Number of beneficiaries associated by the supplier

number_of_supplier_claims

Number of claims submitted by a supplier due to an order by a referring order

number_of_supplier_services

Number of services/products rendered by a supplier

avg_supplier_submitted_charge

Average payment submitted by a supplier

avg_supplier_medicare_pmt_amt

Average payment awarded to suppliers

  1. \({}^{\text {a}}\) Part B alone is not used to train and test models in this paper