A study for the diagnosis of asthma disease using fuzzy logic based system

R. Sharma; S. K. Jain; S. Kumar; P. Sami

doi:10.53730/ijhs.v6nS1.8041

A study for the diagnosis of asthma disease using fuzzy logic based system

https://doi.org/10.53730/ijhs.v6nS1.8041

Authors

R. Sharma Institute of Home Science, Khandari Campus, Agra
S.K. Jain Dept. of Computer Science, IBS, Khandari Campus, Agra
S. Kumar Dept. of Mathematics, Institute of Basic Science
P. Sami Dr. Bhimrao Ambedkar University, Khandari Campus, Agra-282002, India

Keywords:

asthma, allergy rhinitis, fuzzy logic

Abstract

There are numerous expert systems that have been designed to diagnose the severity of Asthma, infect asthma is a chronic lung disorder of with the number of suffers is still estimated only. It has previously been estimated that prevalence of asthma in India is about 30 million patients with prevalence in children, young and adult. Results of various studies shows that asthma is usually under-diagnosed in developing countries. Asthma is a chronic lung disease that blocks the airways that carries air from the lungs. This blockage in the airways causes inflammations which make the patient susceptible to irritations and allergies. The purpose of this work is to design a fuzzy rule based expert system to alleviate this hazard by diagnosing asthma at initial stage. This system has 6 input parameters "FEVI test", "Age", "Allergy Rhinitis", "Environment Factor (Pollution)", "PEF test", "Medical Factor (chronic infection)"and one output parameter which is based on the final result of system and that is defuzzified in order to provide the assessment of the possibility of asthma.

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Published

28-05-2022

How to Cite

Sharma, R., Jain, S. K., Kumar, S., & Sami, P. (2022). A study for the diagnosis of asthma disease using fuzzy logic based system. International Journal of Health Sciences, 6(S1), 12156–12165. https://doi.org/10.53730/ijhs.v6nS1.8041

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Issue

Vol. 6 No. S1 (2022)

Section

Peer Review Articles

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