Stroke is an injury to blood vessels in the brain and affects their cells; this causes the person to lose the functionality of their body and autonomy. The rehabilitation involves a set of activities for the medical specialists, that is, to have a strict control in the care of the patient, which includes the diets, therapies and ingestion of drugs so that the recovery of the patient is carried out in an optimal way and can be reintegrated into their family, social and work environment. This means that achieving communication and coordination among the members of the health area represents a problem; there is no established structured control plan and physicians need to modify them to adjust to the new situation, which is in accordance with the patient clinical needs. Thus, finding a solution to this problem becomes extremely important and, in this work, we propose a multi-agent system for post-stroke monitoring aimed at medical specialists. The main objective of this research is to communicate and coordinate the follow-up of the patient for the reduction of the damages caused by the stroke using the theory of artificial intelligence agents. The results of this research include the multi-agent system in web-based platform, description of the agents and finally, the implementation of the web system oriented to medical specialists.
Web-based Medical Teaching using a Multi-Agent System
