Design and Implementation of a Fuzzy Expert System for Detecting and Estimating the Level of Asthma and Chronic Obstructive Pulmonary Disease
S. Krishna Anand, R. Kalpana, S Vijayalakshmi, B. Tech · 2013
2 Abstract: Soft Computing techniques have been used in a wide variety of applications and medical field is no exception. Although its usage is predominant in areas like cardiac and diabetes, sufficient amount of research has not been conducted in exploring its usage in the functioning of lungs. Keeping in view this aspect, the work carried out places a great deal of importance in the way the lung functions and also in detecting problems associated with lungs primarily Asthma and Chronic Obstructive Pulmonary Disease (COPD). A fuzzy expert system has been designed that takes into account details of various patients and identifies the problem the patient is likely to encounter. Besides, the extent of severity of the problem can also be assessed. In order to reduce the complexity of the overall system, several subsystems with independent intelligent controllers have been designed. Besides, sensitivity analysis has also been carried out to test the extent of relevance of specific inputs.