Big data architecture for decision making in protocols and medications assignment

The work on health research in general, and cancer in particular, is dual-purpose; on the one hand because it is a great subject and of essential importance given the difficulty of reaching a miraculous and rapid solution. On the other hand, because this subject is a humanitarian field and his success is of immense social size. This pulse pushed us a lot to get involved in this research in order to contribute massively to research collaboration in this area by creating multidisciplinary groups to make technology available to the medical sciences and fight against pathological scourge. In this paper, we present a new architecture to serve doctors and nurses in the assignment of adequate treatment for patients based on common digital repository of decision support. This repository is a result of given treatment by doctors dispatched in time and place. The System of proposed architecture will be able to analyze treatments, symptoms, historical medical history of patients, and results on order to help other doctors to prescribe the correct prescription according to similarity of cases and successful results.