Using Machine Learning to Identify Factors Associated with Practice Location of the Healthcare Workforce
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Description
Results of a study applying machine learning techniques to identify factors predicting the decision of physicians, nurses, dentists, and pharmacists to practice in a rural area. Uses data sets collected by the Utah Medical Education Council in 2014, 2016, and 2017. Features statistics with breakdowns by rural and non-rural location.
Author(s)
Jerry Bounsanga, Martin S. Lipsky, Eric S. Hon, et al.
Citation
Rural and Remote Health, 22(1), 7050
Date
02/2022
Tagged as
Dental workforce
· Nurses
· Pharmacy workforce
· Physicians
· Rural-urban differences
· Statistics and data
· Utah