Patterns and factors associated with dental service utilization among insured people: a data mining approach
Zahra Pouraskari,
Reza Yazdani,
Maryam Khademi
et al.
Abstract:Background
Insurance databases contain valuable information related to the use of dental services. This data is instrumental in decision-making processes, enhancing risk assessment, and predicting outcomes. The objective of this study was to identify patterns and factors influencing the utilization of dental services among complementary insured individuals, employing a data mining methodology.
Methods
A secondary data analysis was conducted using a… Show more
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