Research Paper on Diseases Prediction Using Machine Learning

Abstract

There may be drawbacks to using traditional methods for both diagnosis and treatment, especially in the case of serious disorders. Consequently, it's critical to have accurate and analysis of health issues in a timely manner for efficient treatment and prevention. When developing a medical diagnosis system, machine learning (ML) algorithms can be a useful tool as they can yield more accurate disease predictions than traditional approaches. Our team has effectively created a disease prediction system by utilizing multiple machine learning techniques, such as Decision trees, Naive Bayes, and KNN. We have established a framework that facilitates the creation and utilization of prediction models through the implementation of a rule-based methodology. Because of the system's exceptional accuracy, doctors are better equipped to predict and diagnose illnesses early on and resolve health-related issues more skill fully. Index Terms: Prediction, Symptoms of Disease, Machine Learning, Classification