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Techniques to deliver personalized health predictions based on patient-reported symptoms and general health datasets. The methodology employed in their study includes the use of ensemble learning, a meta-algorithm that combines multiple weaker models to create a more balanced and accurate final model. This approach was contrasted with relying on a single machine learning model for predictions. By integrating various machine learning algorithms, both as standalone classifiers and as part of a…