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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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Published in:Public Health Reports Vol. 132; no. 3; pp. 350 - 357
Main Authors: Brady, Eoghan S., Leider, Jonathon P., Resnick, Beth A., Alfonso, Y. Natalia, Bishai, David
Format: Article
Published: Sage Publications Inc. May/Jun2017
Subjects:
United States
Public health
Artificial intelligence
Census
Policy sciences
Algorithms
Classification
Cost analysis
Online Access:View this record in EBSCOhost