Intelligent Medical Systems on Internet Technologies Platform

The amount of accumulated medical data generates a problem of their efficient process, which aims at getting cross-sectional knowledge about this research. Thanks to computer science, if we want to research this type of problems, we can successfully use intelligent techniques such as e.g. genetic algorithms, neural networks, fuzzy sets or rough sets. These last give good results in patients' classification at sequent treatment stages and rehabilitation stages [7]. Considering the peculiarity of medical data (i.e. amount and diversity of parameters and many stages in diagnose and treatment), the usage of rough sets in creating advisory medical systems can shorten the time needed to diagnose. It can minimize the treatment expenses, can raise doctors' job quality and decrease risk in making a mistake during diagnose. Placing these solutions on .Net platform and implementing them as Web Services, gives new possibilities in usage of artificial intelligence domains in intelligent medical systems.