Disease Prediction System and Covid Prediction Probability Using ML

Abstract: The prediction of disease precisely at an early stage is crucial in order to provide an efficient treatment. The conventional way of diagnosing disease can be inefficient in such circumstances. With the advancement of Machine Learning, a system can be designed for increasing the accuracy of the disease prediction. This goal can be achieved by using the various Machine Learning Algorithms available. The available dataset provides us with the information regarding the symptoms of 50 diseases. Also, there is another dataset which provides us with symptoms related to Covid- 19 virus. In general disease prediction the average accuracy of all the algorithms is 94.6% and in the Covid-19 dataset the accuracy is 92.5%. This diagnosis system can act as doctor’s assistant or a pre-diagnosis agent for the patients. Lives can be saved with the possibility of an early diagnosis of a life-threatening disease.

Keywords: Disease prediction, Covid-19, Machine Learning Algorithms1