Title :
Medication recommender system
Author :
Burasakorn Yoosooka;Suvil Chomchaiya
Author_Institution :
Division of Computer Science, Department of Mathematics, Rajamongala University of Technology, Thanayaburi Pathumthani, Thailand
Abstract :
This article presents the medication recommendation system using semantic web, in which the meaning-based data can be intelligently retrieved. Medication data is stored as MySql database with ontology (Protégé) for medication classification. Website is developed with Dreamweaver and HTML 5.0. PHP is used as database interface with SPARQL for ontological data retrieval. At the time of system evaluation, the users satisfaction was presented at the average of 4.46 (from 5.00 scale) and 0.51 in standard deviation, which means highly satisfied.
Keywords :
"Ontologies","Drugs","Semantic Web","Information systems","Databases","Standards"
Conference_Titel :
Science and Technology (TICST), 2015 International Conference on
DOI :
10.1109/TICST.2015.7369377