Analysis, Diagnosis and Prognosis of Leprosy Utilizing Fuzzy Classifier

Abstract

Leprosy (Hensen’s Disease) is an infectious disease that progressively deteriorates over time and is associated with mycobacterium leprae (M.leprae). Although human-to-human transmission is the primary source of infection, three other species can carry and (rarely) transfer M.leprae to humans: chimpanzees, mangabey monkeys, and nine-banded armadillos. The early signs and symptoms of leprosy are very subtle and occur slowly (usually over years), which includes; numbness (loss of temperature sensation), skin lesions, weakness, anesthesia, paralysis, epistaxis, skin bumps, deformity (face, hand and foot), eye damage (dryness and reduced blinking), loss of digit, enlarged earlobes, conjunctivitis and Iridocyclitis. In this paper, the traditional procedure of the medical diagnosis of Leprosy employed by physicians is expressed using Fuzzy classifier. The proposed expert system eliminates uncertainty and imprecision associated with the diagnosis of Leprosy.