A Machine Learning-Based Ensemble Model for Estimating Multiple Disease Prediction

This research introduces a cutting-edge approach to disease prediction using a stacking ensemble model in machine learning. Through meticulous evaluation and testing on data sourced from the National Health Portal of India, the model demonstrated superior accuracy, particularly with the utilization of the random forest ensemble technique. The success of the model lies in its ensemble learning approach, which harnesses the strengths of multiple classification algorithms and incorporates robust hyper parameter selection and cross-validation methods to ensure stability and reliability.