A hybrid multi-agent based particle swarm optimization for telemedicine system for neurological disease
Arshbeer Kaur, Sikander Singh Cheema · 2016
To start with, as we all are aware of the fact that over a time period of more than two decades software agent technology represents one of the developing areas of research. The intent of this research is to do the comparative study of techniques being used in Neurological Disorder Detection with agent, providing graphical user interface(GUI), for people unaware about disorders, in remote areas, so they get easy access, in taking next step, if they find any symptom, is the focus of paper. Data distribution and management in vibrant and distributed environment with multi-user cooperation has made multi-agents system even more significant in this arena. This research provides a hybrid approach dealing with diagnosis, monitoring, proposed approach for regulating observations of the patients who are staying at home with the diagnosis technique for the patients belonging unreachable areas, helping at each stage of patient's progress.