Machine-Learning Algorithms to Code Public Health Spending Accounts.

Objectives: Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the performances of machine-learning algorithms with manual classification of public health expenditur...

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Publicado en:	Public Health Reports Vol. 132; no. 3; pp. 350 - 357
Autores principales:	Brady, Eoghan S., Leider, Jonathon P., Resnick, Beth A., Alfonso, Y. Natalia, Bishai, David
Formato:	Artículo
Publicado:	Sage Publications Inc. May/Jun2017
Materias:	United States Public health Artificial intelligence Census Policy sciences Algorithms Classification Cost analysis
Acceso en línea:	Ver este registro en EBSCOhost