Abstract
Disease diagnosis means the identification of a health problem, disorder, or the other condition that a person may suffer. This identification could be very easy or tricky too. Data sets are available in large quantity; however, there are certain limitations of tools that are used for identification or prediction. The methods which were use before AI was error prone. Using Artificial Intelligence (AI) predictive techniques benefits us by auto diagnosis and also reduces error detection as compared to the methods used before. The paper also provides few current literature reviews. A detailed analysis on those articles is done in order to classify the most used Artificial Intelligence techniques and algorithms in disease identification process. The paper contains discussion on various disease along with Artificial Intelligence (AI) techniques used such as Fuzzy Logic, Machine Learning and Deep Learning. In this paper, we review the current technologies for disease diagnosis with the help of Artificial Intelligence.
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