TAGR: Telehealth Automatically Generated Recommendations

Please use this identifier to cite or link to this item: http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/410

Full metadata record

DC Field	Value	Language
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
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

DSpace JSPUI