Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.

ABSTRACT:

Background

Chronic spinal pain conditions affect millions of US adults and carry a high healthcare cost burden, both direct and indirect. Conservative interventions for spinal pain conditions, including chiropractic care, have been associated with lower healthcare costs and improvements in pain status in different clinical populations, including veterans. Little is currently known about predicting healthcare service utilization in the domain of conservative interventions for spinal pain conditions, including the frequency of use of chiropractic services. The purpose of this retrospective cohort study was to explore the use of supervised machine learning approaches to predicting one-year chiropractic service utilization by veterans receiving VA chiropractic care.

Methods

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SUBMITTER: Coleman BC 

PROVIDER: S-EPMC7368704 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature