
The development of efficient agent-based medical diagnosis systems represents a recent research direction. Medical multiagent systems may improve the efficiency of traditionally developed medical computational systems, like the medical expert systems. In this paper, is proposed a novel cooperative hybrid medical diagnosis multiagent system called CMDS. The cooperative problem solving by the proposed medical system combine the physicians and artificial agents advantages in the medical diagnoses elaborations, by using efficiently the medical knowledge distributed between the members of the system. The novelty consists in the use of a novel class of medical agents, called medical expert system agents and a novel cooperative medical problems solving by the system's members. CMDS system can solve flexibly a large variety of medical diagnosis problems.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
