Cost-Sensitive Learning for Imbalanced Bad Debt Datasets in Healthcare Industry
The research using computational intelligence methods to improve bad debt recovery is imperative due to the rapid increase in the cost of healthcare in the U.S. This study explores effectiveness of using cost-sensitive learning methods to classify the unknown cases in imbalanced bad debt datasets an...
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| Format: | article |
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2015
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| Online Access: | http://dspace.utpl.edu.ec/handle/123456789/18864 |
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