Automatically recommending healthy living programs to patients with chronic diseases through hybrid content-based and collaborative filtering

In this research, we develop a hybrid recommendation system for healthy living programs to patients with chronic diseases. Our experiments indicate that our model compared favorably against other real-world recommendation applications in terms of accuracy. We also demonstrated that the proposed hybrid algorithm performed better than traditional CF in terms of error rate, precision and recall.