TAGR: Telehealth Automatically Generated Recommendations

dc.contributor.advisor	Ignacio, Marvin John
dc.contributor.author	Molina, Kryle Marxel
dc.date.accessioned	2016-08-11T05:58:14Z
dc.date.available	2016-08-11T05:58:14Z
dc.date.issued	2016-06
dc.identifier.uri	http://dspace.cas.upm.edu.ph:8080/jspui/handle/123456789/410
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.subject	natural language processing	en_US
dc.subject	text classification	en_US
dc.subject	machine learning	en_US
dc.subject	support vector machines	en_US
dc.title	TAGR: Telehealth Automatically Generated Recommendations	en_US
dc.type	Thesis	en_US