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本项研究是在建立急性心肌梗塞(AMI)病历数据库基础上统计分析、参考文献资料,吸收专家经验,提炼与AMI急性期预后较为密切的指标。而后用模糊集方法提出了危机度的概念,确定了各指标组间的关系及其权值。同时结合总结AMI临床诊治的过程和经验,以人工智能技术为指导,采用定性和定量相结合、模糊集与数理逻辑相结合的方法,构造出了一个以发病五天以内临床资料预估急性期(8)病情的专家系统。符合率及验证符合率均达90％以上。文中讨论了本项研究的方法、特点和实用价值。该系统不但可以早期及时预估AMI病情的严重程度,还可以帮助医生寻找影响预后的主要因素,施以恰当的治疗措施。
This study is based on the establishment of AMI database on the basis of statistical analysis, reference data, absorption of expert experience, refining and acute AMI prognosis is more closely related to the indicators. Then, the concept of degree of crisis is proposed by the method of fuzzy set, and the relationship and weight of each index set are determined. Combined with the process and experience of clinical diagnosis and treatment of AMI, guided by artificial intelligence technology, a combination of qualitative and quantitative methods, fuzzy set and mathematical logic method was used to construct a clinical data to predict the acute phase within five days of onset (8) the condition of the expert system. The coincidence rate and verification coincidence rate reached more than 90%. The article discusses the method, characteristics and practical value of this study. The system can not only estimate the severity of AMI in an early and timely manner, but also help doctors to find the main factors affecting the prognosis and apply appropriate treatment measures.