study for the diagnosis of asthma disease using fuzzy logic based system
Rajita Sharma, Smitha Jain, Sumit Kumar, P. Sami · International Journal of Health Sciences · 2022
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.