Hybrid Computational Intelligence in Medicine

This paper discusses the effectiveness and the worth of designing and applying hybrid intelligent methodologies, to various medical domains of application. The increased popularity of hybrid intelligent systems recently, is due to the extensive success of these systems in a wide range of real-world complex problems. The main reason for this success seems to be the synergy derived by the computational intelligent components, such as machine learning, fuzzy logic, neural networks, genetic algorithms, or other intelligent heuristics. Each of these methodologies provides hybrid systems with complementary reasoning and searching methods that allow the use of domain knowledge and empirical data to solve complex problems. A brief presentation of different computational intelligent combinations is included within the paper regarding the handling of real-world medical and biomedical applications. Specifically, research status in the fields of medicine, engineering and biomedicine is described, not exhaustively, but indicatively, according to the literature findings. The paper concludes with some thoughts and remarks, regarding the use of hybrid intelligent systems in medicine and biomedicine.