雲端服務導向之冠狀動脈心臟病風險評估專家系統建立之研究

A Study of Constructing a Cloud Service-Oriented Expert System for the Risk Assessment of Coronary Heart Disease

邱瑞科(Ruey-Kei Chiu) ； 馬漢光(Hon-Kwong Ma) ； 簡聖哲(Sheng-Jen Jian) ； 陳麗卿(Li-Chien Chen)

《醫療資訊雜誌》 21卷4期 (2012/12) Pp. 31-51

https://doi.org/10.29829/TJTAMI.201212.0003

摘要

本研究的目的在於發展一套冠狀動脈心臟病雲端服務專家系統，透過專業醫療文獻與專家訪談建立一個輔助醫師診斷與危險分群之決策模型，並將此模型轉化為模糊專家系統可譯的模糊法則庫，而後藉此建構冠狀動脈心臟病模糊專家系統。系統完成後並部署至Google App Engine（GAE）服務平台中，提供醫療人員與社會大眾之服務。為評估本系統部署至雲端平台服務之穩定性及運作效能，故針對系統部署至GAE、Amazon EC2兩個雲端服務平台與傳統的網頁伺服器進行效能之實驗比較，用以找出本系統實際運作之最穩定及效能最佳的部署平台。實驗結果發現GAE雲端服務平台為最穩定且效能最佳的部署平台。藉由將本研究所發展之冠狀動脈心臟病專家系統部署於雲端平台不僅能提供醫師或醫護專業人員作為診斷、危險分群與風險推估的參考依據，而且一般民眾亦可藉由此服務了解自身病情並可據此與專科醫師進一步討論。藉由此系統之協助希冀可降低使用者冠狀動脈心臟病發生率與心臟病發生後龐大醫療資源的支出。

關鍵字

冠狀動脈心臟病 ； 雲端運算 ； 健康照護 ； 人工智慧 ； 模糊專家系統

並列摘要

The objective of this study aims to develop a cloud service-oriented expert system for the risk assessment of coronary heart diseases. Through the review of literatures and expert interviews, a decision model is firstly established to support physicians the diagnosis and the risk assessment of coronary heart diseases. The decision model is then transformed into a fuzzy rule base followed by the construction of the fuzzy expert system which is based on the rules constructed. The system was also deployed to Google App Engine (GAE) service platform to provide the services for medical professionals and publics. In order to compare the service stability and operational performance of the system deployed on the cloud, the experiments is taken to the deployment of expert system targeted to two cloud-service platforms which are Google App Engine and Amazon EC2 and a traditional Web server. The results of experiment show that the GAE cloud-service platform may yield the best performance in terms of the system stability and operation. The artifact of this study may not only provide the physicians or healthcare professionals a reference for proceeding to the diagnosis and risk assessment of CHD. It may also provide general publics to conduct the self-assessment for their own heart conditions. By the aid of this system, hopefully it will reduce the probability of incidence of coronary heart disease of users. As a result, the unnecessary expense of medical resources can also be eliminated.

並列關鍵字

Coronary Artery Heart ； Cloud Computing ； Health Care ； Artificial Intelligence ； Fuzzy Expert Systems