K-means clustering of outpatient prescription claims for health insureds in Iran.

ABSTRACT:

Objective

The segmentation of consumers based on their behavior and needs is the most crucial action of the health insurance organization. This study's objective is to cluster Iranian health insureds according to their demographics and data on outpatient prescriptions.

Setting

The population in this study corresponded to the research sample. The Health Insurance Organization's outpatient claims were registered consecutively in 2016, 2017, 2018, and 2019 were clustered.

Design

The k-means clustering algorithm was used to cross-sectionally and retrospectively analyze secondary data from outpatient prescription claims for secondary care using Python 3.10.

Participants

The current analysis transformed 21 776 350 outpatient prescription claims from health insured in

SUBMITTER: Momahhed SS 

PROVIDER: S-EPMC10142779 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature