Disease prediction using machine learning

. By analyzing patient data and identifying risk factors, these applications can provide valuable insights for healthcare providers. Machine learning algorithms like Naive Bayes, K-Nearest Neighbor, Decision Trees, and Random Forest are employed to build models that predict the probability of a disease. These models can be used to assess the risk of developing a specific disease, aiding in the early detection and prevention of illness.