E-medical diagnosis support system for non-invasive liver fibrosis recognition

Modern medical diagnosis systems very often accumulate numerous data. These computer medical support systems are used in monitoring and diagnosis, which require the various tools to interpret captured parameters. In the paper the new type of the computer medical support system has been presented. The system uses diagnostic conclusion method based on a similarity between the patient’s condition and diseases’ patterns contained in repository. On the basis of the repository data the classifier gives the most adequate decision. The new repository data are continuously stored. For this reason classifier can work in the self-tuning mode, what improves the classification quality.