基于置信规则库推理的咽喉病辅助诊断系统的研究

Research on the Throat Disease Auxiliary Diagnosis System Based on Belief Rule Base Reasoning

摘要:

针对咽喉病的发病趋势逐年上升、病理进程不可逆转、病情恶性转化风险较高的特点,设计了咽喉病辅助诊断系统；利用置信规则库的推理融合算法处理分析患者临床数据信息,依据咽喉病的置信分布,判断患者的咽喉病类型；设计并开发了基于置信规则库推理的咽喉病辅助诊断系统,该系统集咽喉病辅助诊断、历史诊断信息查看、用户医生管理于一体；经数据验证,该系统整体诊断准确率达92.7%,已接近临床医生水平,可用于给临床经验不足的医生提供决策支持,助其提高诊断水平,降低误诊风险,优化医疗资源的合理高效分配,从而实现咽喉病的早期筛查、及时干预和规范治疗,有效避免因延误诊治导致的病情恶化,改善患者预后。

Abstract:

Given the characteristics of throat diseases, such as an increasing annual incidence, irreversible pathological progression, and a high risk of malignant transformation, an auxiliary diagnosis system for throat diseases was designed. This system employs a reasoning fusion algorithm based on a belief rule base to process and analyze patients" clinical data, determining the type of throat disease according to the belief distribution of throat diseases. A belief rule base auxiliary diagnosis system for throat diseases was developed and integrated, combining throat disease diagnosis assistance, historical diagnosis information review, and user-doctor management. Data verification showed that the system achieves an overall diagnostic accuracy of 92.7%, nearing the level of clinical physicians. It can provide decision support for doctors with limited clinical experience, helping them improve diagnostic accuracy, reduce misdiagnosis risks, and optimize the rational and efficient allocation of medical resources. Consequently, it enables early screening, timely intervention, and standardized treatment of throat diseases, effectively preventing disease deterioration due to delayed diagnosis and improving patient outcomes.