Using Machine Learning to Identify Factors Associated with Practice Location of the Healthcare Workforce
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.
Jerry Bounsanga, Martin S. Lipsky, Eric S. Hon, et al.
Rural and Remote Health, 22(1), 7050
Dental workforce · Nurses · Pharmacy workforce · Physicians · Rural-urban differences · Statistics and data · Utah