Machine-Learning Algorithms to Code Public Health Spending Accounts
Machine-Learning Algorithms to Code Public Health Spending Accounts
About this item
Full title
Author / Creator
Publisher
Los Angeles, CA: SAGE
Journal title
Language
English
Formats
Publication information
Publisher
Los Angeles, CA: SAGE
Subjects
More information
Scope and Contents
Contents
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 expenditures to determine if machines could provide a fas...
Alternative Titles
Full title
Machine-Learning Algorithms to Code Public Health Spending Accounts
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5415260
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5415260
Other Identifiers
ISSN
0033-3549
E-ISSN
1468-2877
DOI
10.1177/0033354917700356
