Medication recommender system

Conference proceedings article

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Publication Details

Author list: Yoosooka B., Chomchaiya S.

Publisher: Hindawi

Publication year: 2015

Start page: 313

End page: 317

Number of pages: 5

ISBN: 9781467376709

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963668312&doi=10.1109%2fTICST.2015.7369377&partnerID=40&md5=a7e9e2ea155fb10baa33a670e3686b3e

Languages: English-Great Britain (EN-GB)

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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 (Prot้g้) 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. ฉ 2015 IEEE.

Keywords

Medical data, Medical ontlogy, Medication recommendation system