Ebrahimi Alireza Pour, Toloui Ashlaghi Abbas, Mahdavy Rad Maryam
Department of Information Technology Management, Islamic Azad University, Electronic Campus, Tehran, Iran.
J Educ Health Promot. 2013 Sep 30;2:54. doi: 10.4103/2277-9531.119041. eCollection 2013.
The purpose of this paper is to propose a novel intelligent model for AIDS/HIV data based on expert system and using it for developing an intelligent medical consulting system for AIDS/HIV.
In this descriptive research, 752 frequently asked questions (FAQs) about AIDS/HIV are gathered from numerous websites about this disease. To perform the data mining and extracting the intelligent model, the 6 stages of Crisp method has been completed for FAQs. The 6 stages include: Business understanding, data understanding, data preparation, modelling, evaluation and deployment. C5.0 Tree classification algorithm is used for modelling. Also, rational unified process (RUP) is used to develop the web-based medical consulting software. Stages of RUP are as follows: Inception, elaboration, construction and transition. The intelligent developed model has been used in the infrastructure of the software and based on client's inquiry and keywords related FAQs are displayed to the client, according to the rank. FAQs' ranks are gradually determined considering clients reading it. Based on displayed FAQs, test and entertainment links are also displayed.
The accuracy of the AIDS/HIV intelligent web-based medical consulting system is estimated to be 78.76%.
AIDS/HIV medical consulting systems have been developed using intelligent infrastructure. Being equipped with an intelligent model, providing consulting services on systematic textual data and providing side services based on client's activities causes the implemented system to be unique. The research has been approved by Iranian Ministry of Health and Medical Education for being practical.
本文旨在提出一种基于专家系统的新型艾滋病/艾滋病毒数据智能模型,并将其用于开发艾滋病/艾滋病毒智能医疗咨询系统。
在这项描述性研究中,从众多关于该疾病的网站收集了752个关于艾滋病/艾滋病毒的常见问题(FAQ)。为了进行数据挖掘并提取智能模型,针对常见问题完成了Crisp方法的6个阶段。这6个阶段包括:业务理解、数据理解、数据准备、建模、评估和部署。使用C5.0树分类算法进行建模。此外,采用理性统一过程(RUP)来开发基于网络的医疗咨询软件。RUP的阶段如下:初始阶段、细化阶段、构建阶段和移交阶段。所开发的智能模型已应用于软件架构中,根据客户的查询,与关键词相关的常见问题会按排名显示给客户。常见问题的排名会根据客户阅读情况逐步确定。基于所显示的常见问题,还会显示测试和娱乐链接。
艾滋病/艾滋病毒基于网络的智能医疗咨询系统的准确率估计为78.76%。
已使用智能架构开发了艾滋病/艾滋病毒医疗咨询系统。配备智能模型、基于系统文本数据提供咨询服务以及基于客户活动提供辅助服务,使得所实施的系统独具特色。该研究已获伊朗卫生和医学教育部批准,具有实用性。