Medical Diagnosis System Using Machine Learning

Abstract

Disease prediction is one of the critical task while designing medical diagnosis software. Artificial intelligence and neural network are two major techniques which are already used to solve this type of medical diagnosis problem. Recently, Machine Learning techniques have been successfully utilized in a different applications including to assist in medical diagnosis. It is very effortless and on time process for patients to analyze disease based on clinical and laboratory symptoms with appropriate data and give more efficient result for specificdisease. In this paper, first we have observed the current scenario of medical diagnosis system with different data mining techniques and later we have proposed an algorithm to predicate the Swine Flu disease based on several attributes.