| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 827.2KB PDF | Date added | 14 May 2007 |
| Topics | Knowledge and Data Management, Data Mining - Analysis, High Performance Computing | ||
| Downloads | 11 | ||
High performance forecasting can be applied to healthcare data where the time variable is transactional. Once the trend of the medication is known, researchers can study the medication thoroughly to lower costs and improve care. Severity conditions of a patient are classified using Enterprise Miner (data mining). Probability density estimation is plotted using kernel density estimation methods to compare the total cost and private insurance payment for the severity condition of the patients and it was found that patients with Urinary tract infection have higher frequency. Proper use of the data mining and High Performance Forecasting approaches can lower costs and improve the healthcare of society.
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