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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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| Veröffentlicht in: | Public Health Rep |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SAGE Publications
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5415260/ https://ncbi.nlm.nih.gov/pubmed/28363034 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0033354917700356 |
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