Arani Leila Akramian, Sadoughi Frahnaz, Langarizadeh Mustafa
Department of Health Information Management, Kashan University of Medical Sciences and Health Services. Kashan. Iran.
Department of Health Information Management, School of Health and Information Science, Iran University of Medical Science, Tehran, Iran.
Acta Inform Med. 2019 Jun;27(2):103-107. doi: 10.5455/aim.2019.27.103-107.
Pneumonia is the most common and widespread killing disease of respiratory system which is difficult to diagnose due to identical clinical signs of respiratory system.
In this research, to diagnose this, a structure of a fuzzy expert system has been offered. This is done in order to help general physicians and the patients make decision and also differentiate among chronic bronchitis, tuberculosis, asthma, embolism, lung cancer.
This system has been created using fuzzy expert system and it has been created in 4 stages: definition of knowledge system, design of knowledge system, implementation of system, system testing using prototype life cycle methodology.
The system has 97 percent sensitivity, 85 percent specificity, 93 percent accuracy to diagnose the disease.
Framework of the knowledge of specialist physicians using fuzzy model and its rules can help diagnose the disease correctly.
肺炎是呼吸系统最常见且分布广泛的致命疾病，因其呼吸系统临床症状相同而难以诊断。
在本研究中，为诊断该疾病，提供了一种模糊专家系统结构。这样做是为了帮助普通医生和患者做出决策，同时区分慢性支气管炎、肺结核、哮喘、栓塞、肺癌。
该系统使用模糊专家系统创建，分4个阶段完成：知识系统定义、知识系统设计、系统实现、使用原型生命周期方法进行系统测试。
该系统诊断该疾病的灵敏度为97%，特异度为85%，准确率为93%。
使用模糊模型及其规则的专科医生知识框架有助于正确诊断疾病。
