A Machine Learning Approach to Uncovering Hidden Utilization Patterns of Early Childhood Dental Care Among Medicaid-Insured Children

A Machine Learning Approach to Uncovering Hidden Utilization Patterns of Early Childhood Dental Care Among Medicaid-Insured Children

Background: Early childhood dental care (ECDC) is a significant public health opportunity since dental caries is largely preventable and a prime target for reducing healthcare expenditures. This study aims to discover underlying patterns in ECDC utilization among Ohio Medicaid-insured children, whic...

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Bibliographic Details
Main Authors: Jin Peng, Xianlong Zeng, Janice Townsend, Gilbert Liu, Yungui Huang, Simon Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Public Health
Subjects:
pediatric dentistry
medicaid
public health
healthcare expenditures
health services research
early childhood dental care
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2020.599187/full

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https://www.frontiersin.org/articles/10.3389/fpubh.2020.599187/full

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