Disease Prediction from Various Symptoms Using Machine Learning

Abstract

The main reason to develop this system is that we need to be aware of diseases that may start with small symptoms and end up with dangerous health conditions. So, to avoid this we need to have regular health check-up’s but in our modern lifestyle there is no much time left for health check-up or any kind of diagnosis. That’s why with this human disease prediction from various symptoms we can easily check the underlying diseases just buy selecting the symptoms that people may have in the start and check the problem and all this process will happen in a span of few seconds and mainly at your convenient place. In this system we have used naive bayes algorithm to predict the disease based on the your inputs and we have used the dataset collected by the Columbia University and this system uses this dataset and algorithm to predict the most likely disease according to the entered or selected symptoms.