Clinical paths data mining with soft computing

Clinical path is set od data, that appoints medical treatment based on diagnosis. It contains data about a patient and about his treatment. Formally it means that a set of atributes determines a record of a patient. The goal of the project is to find new attributes based on known ones with the help of data mining over the data base of patients and their clinical paths. We have plan to use soft computing techniques, in particular neural networks and evolutionary algorithms. The results will be compared with those obtained with more conventional methods, for example with methods based on decision trees, nonlinear regression methods, etc. The results will be evaluated also with the criteria of medical profession.