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Development of a recommender system for dental care using machine learning
2019
SN Applied Sciences
Resource mismanagement along with the underutilization of dental care has led to serious health and economic consequences. Artificial intelligence was applied to a national health database to develop recommendations for dental care. The data were obtained from the 2013-2014 National Health and Nutrition Examination Survey to perform machine learning. Feature selection was done using LASSO in R to determine the best regression model. Prediction models were developed using several supervised
doi:10.1007/s42452-019-0795-7
fatcat:dmztjz7b6nfzdlqrfb7u6w5pqm