A DECISION SUPPORT SYSTEM FOR DIAGNOSIS OF RHEUMATIC FEVER IN NEPAL
Rheumatic Heart Disease (RHD) is one of the major diseases leading to premature deaths of children in Nepal. The cause of RHD is untreated or late diagnosis of Rheumatic Fever (RF). Efforts aimed at preventing RHD in Nepal have been hampered by poor infrastructure in various parts of the country. In this paper we propose a Decision Support System (DSS) to be used by medical practitioners in the diagnosis of RF/RHD. Our proposed system incorporates a knowledge base which can be used by doctors to diagnose RF in its early stages thereby preventing many cases of RHDs. We describe a new approach for diagnosing RF in four different categories. These categories describe the severity of the disease according to the recorded symptoms. We define the severity of RF into either Suspected, Mild, Moderate and Severe. Our proposed system is designed to provide initial support for the rural health workers or inexperienced doctors to diagnose RF in its early stages.
Rheumatic Fever Knowledge-base rules WHF WHO?s criteria local country guidelines decision support system
Sanjib Raj Pandey Chiyaba Njovu Choi-Hong Lai
School of Computing and Mathematical Science,University of Greenwich
国际会议
The 7th Asia Pacific Association for Medical Informatics Conference(第七届亚太医药信息学大会(APAMI2012))
北京
英文
1-5
2012-10-24（万方平台首次上网日期，不代表论文的发表时间）