Investigacion y analisis de sistemas de recomendaciones basados en reglas y Fuzzy para el control de la diabetes sobre articulos cientificos y sistemas existentes
Diabetes is a chronic disease that affects a large number of population around the world, it is important that people who suffer this illness is informed about it to be able to carry out a better control of it. Because there is a large amount of information on internet, the search for valuable and accurate information can be a difficult task, recommender systems are software tools that provide support to patients and doctors by filtering available information and give personalized recommendations. Rule Based Recommendation systems and fuzzy aimed to offer patients with diabetes reliable recommendations that fit their profiles and help control their disease and provide doctors with support for decision making in the treatment of their patients.