Fuzzy decision support system for tuberculosis detection

The medical industry requires new engineering technologies, to assess information objectively. While recent developments in medical engineering have been achieved by state of the art of intelligent computing techniques including computer-aided diagnosis, computer aided radiography. Tuberculosis caused by bacteria thus their complete diagnoses require time consuming and expensive microscopic examination of sputum. In spite of the lengthy examination, these diseases require rather immediate medical treatment to prevent serious consequences. The main focus of this paper is for development of Decision base Fuzzy Expert System architecture to find stage of tuberculosis. This system will offer potential assistance to medical practitioners and healthcare sector in making prompt decision during the diagnosis of tuberculosis.