Published Paper Details:

The method that is used to forecast illnesses based on the symptoms that are provided by patients or any user is referred to as Disease Prediction Using Machine Learning (or simply Disease Prediction). The user supplies the symptoms they are experiencing as the system's input, and the algorithm calculates the disease's likelihood based on those symptoms. The purpose of this article is to develop a dependable machine-learning model that is capable of accurately predicting the sickness that a human is suffering from based on the symptoms that the human is experiencing. Let us investigate the many ways in which we might tackle this topic via machine learning: Many facets of contemporary life have been profoundly influenced by machine learning (ML). It may be used for data mining to extract useful information from enormous datasets, for example, or for image analysis to tell one kind of picture from another. Discovering patterns, building models, and making predictions from training data are all within reach thanks to ML.