The accuracy of disease predictions depends on the quality and quantity of data, the model used, and the assumptions made. While no model can predict with 100% accuracy, advanced methods like machine learning have significantly improved prediction reliability. Continuous validation and updating of models with new data also enhance their accuracy.
