Smart collaboration framework for managing chronic disease using recommender system

E‐Healthcare services show promising solutions to reduce patients’ life risk with improving the provided services along with being cost effective. This paper presents Chronic Disease Recommender System that assists patients to monitor and control their cases through suggesting medical advices and diagnosis. For the system to be accurate, which is vital in such application, it needs to work with high‐dimensional data. This work proposed Integrated Collaborative Filtering framework that reduces the complexity and improves the response time of high‐dimensional data to develop recommender system. The paper concluded with presenting and discussing real case study with real medical data on providing medical advices for diabetes.