Abstract
Asthma is major public health problem due to its incurable nature and misdiagnosis. The severity of asthma leading to the stage of death is because of late detection and diagnosis of Asthma. In the field of treatment of Asthma the groups of expert doctors are limited. The motivation behind taking up this research work is the thought that if these experts’ knowledge and experience can be made available to a wide section of medical practitioners and up to some extents to susceptible patients then this disease can be diagnosed at its early stage and hence its treatment at proper time may alleviate the grievance of this disease. The present study is focused on development of a computer based Inference System with capability to diagnose the degree of severity of asthma based on the knowledge and experience of experts in this field. Developed Inference System is based on the philosophy of Artificial Neural Network. The performance of Inference System developed for the diagnosis of Asthma is quite encouraging and acceptable. Afterwards analysis of this inference system has been done on the basis of its efficiency.
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