Design and Identification of Tuberculosis using Fuzzy Based Decision Support System

摘要

system architecture and algorithm used to find stage of tuberculosis a patient may have. This is achieved by employing Mamdani’s MAX- MIN fuzzy inference engine to infer data from rules developed. This resulted in the establishment of degree influencing input variables on the output. The technique allows for less, mild, moderate, high, yes and no symptoms to be applied in order to get the estimation result. This system will offer potential assistance to medical practitioners and healthcare sector in making prompt decision during the diagnosis of tuberculosis.