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Diagnostic of asthma using fuzzy rules implemented in accordance with international guidelines and physicians experience

机译:使用根据国际准则和医生经验实施的模糊规则诊断哮喘

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This paper presents a system for classification of asthma based on fuzzy rules. Fuzzy rules are defined according to Global Initiative for Asthma (GINA) guidelines, as well as through consultations with long-term experience of pulmologists. Our fuzzy system for classification of asthma is based on a combination of spirometry (SPIR) and Impulse Oscillometry System (IOS) test results, which are inputs to fuzzy system. Additionally, the use of bronchodilatation and bronhoprovocation enabled a complete patient's dynamic assessment rather than a simple static assessment. The system was retroactively tested with 1250 Medical Reports established by pulmologists, out of which 728 were diagnosed with asthma and 522 were healthy subjects. Sensitivity and specificity were assessed, on this dataset, which were 91.89% and 95.01%, respectively.
机译:本文提出了一种基于模糊规则的哮喘分类系统。根据全球哮喘防治倡议(GINA)指南以及与肺科医师的长期经验进行协商,定义了模糊规则。我们的哮喘分类模糊系统是基于肺量计(SPIR)和脉冲示波法系统(IOS)测试结果的组合,这些输入结果是模糊系统的输入。另外,使用支气管扩张术和支气管激发可以进行完整的患者动态评估,而不是简单的静态评估。该系统使用了由肺科医师建立的1250份医学报告进行了追溯测试,其中728例被诊断出患有哮喘,而522例是健康受试者。在该数据集上评估的敏感性和特异性分别为91.89%和95.01%。

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