Cerebrovascular diseases research based on heterogeneous medical data mining and knowledge base

The cerebrovascular diseases research are based on deidentified real patient´s data received from a collaborating centre. The goal of research is to take advantage of heterogeneous medical data relationships. Medical data relationships leads to get more data mining facilities in studying of dependencies and crucial values of parameters in a huge volume of real imaging examinations with clinical and therapeutic data. There are lot of difficulties and security issues when providing research on medical data. Medical data and research results in the knowledge base should notable contribute to give a solution to a complex of cerebrovascular diseases problem. The knowledge base and de-identified real patient data can be used in a practical education and as a diagnostic tool.