Volume 7, Issue 4 (winter2016 2016)                   tkj 2016, 7(4): 14-21 | Back to browse issues page


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ebrahimpoor F, derhami V, mostaghaci M, zare M J, Soltani Gerdefaramarzi R. Designing a fuzzy system for lung disease diagnosis based on spirometry. tkj. 2016; 7 (4) :14-21
URL: http://tkj.ssu.ac.ir/article-1-664-en.html

Master Student yazd univesity , firuze_ebrahimpoor@yahoo.com
Abstract:   (1143 Views)

Introduction: Nowadays, air pollution, occupational and industrial harmful exposure caused the increasing prevalence of lung diseases. The pulmonary function testing such as spirometry plays an important role in the diagnosis and treatment of lung diseases. Due to the increasing use of the classification system in the prediction and detection based on the test samples, diagnosis the patients and non- patients according to their pulmonary performance without testing can be achieved relying on data-based prediction methods.

Method:In this study, a new method developed by fuzzy system was used to determine the restriction syndrome pulmonary disease to find workers in the tile industry. The fuzzy system designed considering the main factors affecting respiratory health in tile industry with the values of FVC and FEV1, which is the result of the spirometry test analysis in the workplace. These systems input include the staff occupational and environmental information, and the output is prediction of being sick or healthy.

Result: Among the used classification methods, the fuzzy method was achieved acceptable results because of the samples awarded degree in each cluster.According to the developed model in this study for predicting obstructive and restrictive pulmonary syndrome based on the analyzed test samples related to information of workers in 1394, the achieved accuracy was 0.71and 0.79, respectively.

Conclusion: Using the fuzzy systems for modeling and predicting on medical issues such as diagnosis the diseases recommended due to the appropriate performance of them in uncertain environment. The knowledge in fuzzy systems expressed as if-then rules, so the obtained knowledge is understandable by humans and can be refined by experts if necessary.

Keyword: Classification, Fuzzy, Fuzzy Rules, Spirometry

Full-Text [PDF 762 kb]   (347 Downloads)    
Type of Study: Applicable | Subject: occupational medicine
Received: 2015/08/23 | Accepted: 2016/03/14 | Published: 2016/03/14

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