Title

運用OWL與JessTab建構醫院門診推薦專家系統之研究

Translated Titles

The Study of Hospital Clinic Recommended ExpertSystem Based on OWL and JessTab

DOI

10.29829/TJTAMI.201112.0001

Authors

陳樂惠(Le-Hui Chen);林鼎舜(Ting-Shun Lin)

Key Words

醫院門診推薦專統 ; OWL ; JessTab ; 知識工程方法論 ; 本體論 ; Hospital clinic recommended system ; OWL ; JessTab ; Knowledge engineering methodology ; Ontology

PublicationName

醫療資訊雜誌

Volume or Term/Year and Month of Publication

20卷3期(2011 / 12 / 01)

Page #

1 - 19

Content Language

繁體中文

Chinese Abstract

民眾到醫院就診時,對於本身初次面對的病徵,在缺乏資訊的情況下,僅能詢問醫院服務人員應至何門診就醫,或自行決定應看什麼門診。根據統計許多民眾到醫院時,面對眾多門診科別時,常不知道要前往何處就醫,且部份民眾初診時有掛錯門診經驗,民眾掛錯門診若情形輕微僅延誤病患時間,情況嚴重將耽誤就醫時效。本研究運用知識工程方法論將複雜醫療疾病及門診資訊整合到本體論中,並以OWL與JessTab 技術完成醫院門診推薦專家系統,且將推薦系統整合到醫院掛號系統中使用,透過網路平台,使用者可依本身病徵查詢可能罹患疾病、疾病醫療資訊及應就診科別之資訊,提供使用者獲得充分的資訊,協助使用者決策,讓民眾避免掛錯門診。

English Abstract

When people look for clinic at the first time in hospital, they could only ask for help by hospital staff or decide the clinic by themselves due to lack of information. According to some surveys, some people didn't know how to decide the clinic and had experience registering the wrong clinic due to newly diagnosis in hospital. If people make wrong decision for the clinic, it will cause delaying patient's time. Moreover, it will delay the time for medical treatment. The study integrates the medical information into Ontology with knowledge engineering methodology and has finished hospital clinic recommended system by OWL and JessTab technology. People can query the related information of disease and clinic according to symptoms through the hospital network platform. The medical information will help people make the right decision and avoid registering the wrong clinic.

Topic Category 醫藥衛生 > 醫院管理與醫事行政
Times Cited
  1. 陳修銘(2015)。醫院門診掛號科別與醫師推薦系統。中興大學資訊科學與工程學系所學位論文。2015。1-44。 
  2. 戚玉樑(Yu-Liang Chi);陳滄堯(Tsang-Yao Chen);洪智力(Chih-Li Hung)(2013)。以知識整合模型建置症狀查詢就診科別推薦系統之研究。圖書館學與資訊科學。39(1)。64-83。 
  3. 蕭力瑋(2014)。個人健康檢查項目推薦系統之開發:以癌症為例。中山大學資訊管理學系研究所學位論文。2014。1-142。
  4. 蕭凱文(2016)。孕產婦產前衛教知識管理:發展以本體論為基礎的塑模方法論。中山大學資訊管理學系研究所學位論文。2016。1-91。