Disease Prediction using various ML Approaches

Abstract— The proposed system uses machine learning techniques to predict diseases based on symptoms given by patients or other users. It takes the user's symptoms as input and outputs a prediction of the patient's condition based on predictive modelling. Here, the notion of Supervised Machine Learning, which will be implemented using Light Gradient Boosting Machine, Random Forest, and Naive Bayes algorithms is used to aid in accurate disease prediction. The findings confirmed that the system is user-friendly and practical for individuals seeking quick disease diagnoses