Determination of Gout Disease using Machine Learning

Aim of this study is to determine whether the subject is diagnosed with the gout disease or not. The saliva is an organic body fluid that has numerous components present in it. Uric acid is one of the sub components present in the saliva. Saliva is one of the body fluid that can be easily taken from the subject. By using it, the concentration of the uric can be found. Maintaining the Uric acid level in the human body is very important. Any change in the level of the uric acid leads to various diseases. Gout is one of the most common disease that is caused due to the increase of the uric acid level in the body. The analyzation of the saliva through HPLC method helps in determining the concentration of the uric acid. Since the output of the HPLC chromatography is graph, the graph image obtained from the subject is compared with the existing datasets using the machine learning algorithm. Machine Learning algorithm compares the Output of the subject with the dataset. Based on the result the subject is given a suggestion whether they should consult a doctor or not.