论文标题
基于规则的专家系统，用于评估不确定性下的冠状动脉疾病
A Rule Based Expert System to Assess Coronary Artery Disease under Uncertainty
论文作者
论文摘要
冠状动脉疾病（CAD）涉及缩小和破坏主要血管，已成为世界上威胁性最大的疾病，尤其是在南亚原因。尽管新加坡和印度为CAD患者提供出色的医疗设施，但需要尽早发现CAD阶段才能最大程度地减少患者的痛苦和费用。对于医生来说，将许多因素纳入详细信息分析确实很具有挑战性，并且CAD检测需要昂贵的医疗设施，因此CAD检测很昂贵。临床决策支持系统（CDSS）可以帮助分析患者的许多因素。在本文中，提出了一个基于规则的专家系统（RBE），该系统可以预测五个不同的CAD阶段。 RBE包含五个基于信念规则（BRB）系统，最终输出是通过使用证据推理（ER）组合所有BRB来产生的。计算成功，错误，失败，错误遗漏率，以衡量RBE的性能。与现有CDS相比，成功率和虚假遗漏率显示出更好的性能。
The coronary artery disease (CAD) involves narrowing and damaging the major blood vessels has become the most life threating disease in the world especially in south Asian reason. Although outstanding medical facilities are available in Singapore and India for CAD patients, early detection of CAD stages are necessary to minimize the patients' sufferings and expenses. It is really challenging for doctors to incorporate numerous factors for details analysis and CAD detections are expensive as it needs expensive medical facilities. Clinical Decision Support Systems (CDSS) may assist to analyze numerous factors for patients. In this paper, a Rule Based Expert System (RBES) is proposed which can predict five different stages of CAD. RBES contains five different Belief Rule Based (BRB) systems and the final output is produced by combining all BRBs using the Evidential Reasoning (ER). Success, Error, Failure, False Omission rates are calculated to measures the performance of the RBES. The Success Rate and False Omission Rate show better performance comparing to existing CDSS.
