药物推荐系统

2015 International Conference on Science and Technology (TICST) Pub Date : 2015-11-01 DOI:10.1109/TICST.2015.7369377

Burasakorn Yoosooka, Suvil Chomchaiya

{"title":"药物推荐系统","authors":"Burasakorn Yoosooka, Suvil Chomchaiya","doi":"10.1109/TICST.2015.7369377","DOIUrl":null,"url":null,"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.","PeriodicalId":251893,"journal":{"name":"2015 International Conference on Science and Technology (TICST)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Medication recommender system\",\"authors\":\"Burasakorn Yoosooka, Suvil Chomchaiya\",\"doi\":\"10.1109/TICST.2015.7369377\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":251893,\"journal\":{\"name\":\"2015 International Conference on Science and Technology (TICST)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Science and Technology (TICST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TICST.2015.7369377\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Science and Technology (TICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TICST.2015.7369377","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 2

摘要

本文提出了一种基于语义网的药物推荐系统，该系统可以对基于语义的数据进行智能检索。用药数据存储为MySql数据库，使用本体(prot日新月异)进行用药分类。网站是用Dreamweaver和HTML 5.0开发的。使用PHP作为与SPARQL的数据库接口，用于本体数据检索。在系统评价时，用户满意度的平均值为4.46(从5.00量表开始)，标准差为0.51，表示高度满意。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Medication recommender system

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 International Conference on Science and Technology (TICST)

自引率

0.00%

发文量