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http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/410| Title: | TAGR: Telehealth Automatically Generated Recommendations |
| Authors: | Ignacio, Marvin John Molina, Kryle Marxel |
| Keywords: | natural language processing text classification machine learning support vector machines |
| Issue Date: | Jun-2016 |
| Abstract: | Telehealth Automatically Generated Recommendations (TAGR) is a module for auto- matically classifying SMS and e-mail messages with their appropriate tags as required by the National Telehealth Center for their National Telehealth Service Program (NTSP). It utilizes support vector machines in text classification which are config- urable in a web-based interface. The default classifier trained on the base dataset gives an average accuracy of 73% via 10-fold cross validation. |
| URI: | http://dspace.cas.upm.edu.ph:8080/jspui/handle/123456789/410 |
| Appears in Collections: | Computer Science SP |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| TAGR SP Docs - Molina.pdf | 2.63 MB | Adobe PDF |  View/Open |
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