Cognitive Decision Support System for medical diagnosis

The expert medical diagnosis of infections is a difficult task where it considers numerous quantitative and qualitative values of physical factors, symptoms, laboratory test reports. The knowledge of Doctors rendering to the physical clinical inspection and medical test are the key opinion to flourish a diagnosis and treatment of a patient. This paper presents different methods of representing the knowledge for expert medical diagnosis systems and utilising it for rational decision making to predict the problem. The focal point of the research work is the real time implementation of Cognitive medical decision making systems using Machine Learning and Fuzzy-Cognitive-Map Model. Also, compare these methods for its suitability as cognitive decision-making technologies for an expert system.