Personalized Recommendation for Preventing Patients with Type 2 Diabetes Mellitus and Hypertension from Cardiovascular Complication

Cardiovascular complication is the critical health problem for patients with type 2 diabetes mellitus and hypertension worldwide. Unfortunately, the prevention of patients from cardiovascular complication does not obtain much attention although the numbers of patient and death are increasing globally. Currently, there is no existing personalized recommendation for them. Accordingly, this paper proposes a personalized recommendation for preventing patients with type 2 diabetes mellitus and hypertension from cardiovascular complication. The recommendation is modeled with fuzzy near compactness to measure the similarity between patient conditions and practice plans so that the appropriately personalized recommendation is obtained for each patient. Moreover, the clinical data and lifestyle data are used for analyzing. The recommendation is made based on knowledge and experience of the experts. The experiment with 121 patients shows that the proposed recommendation provides 96% accuracy compared with those made by the experts.