First Steps towards a Frequent Pattern Mining with Nephrology Data in the Medical Domain - Extended Abstract -

Concurrency, Specification and Programming

Matthias Niemann1 ; Danilo Schmidt2 ; Gabriela Lindemann – von Trzebiatowski3 ; Carl Hinrichs2

Others  :  http://ceur-ws.org/Vol-928/0261.pdf
PID  :  27418

来源: CEUR

【 摘 要 】

Constantly increasing, complex and heterogeneous data collections are characteristic for our time. That occurs in nearly all spheres of our life. One of the main challenges is the handling of this huge amount of data. Data mining is a field of computer science which is dealing with this special problem. This paper describes our project which uses Data mining in the medical domain. Our medical data come from the Department of Nephrology and include data of patients which have got kidney transplantations. In this domain a lot of different kind of data were produced, because patients with organ transplantation must be in treatment for the rest of their lives. One of the big aims in the transplantation science is a long-term graft survival. In this project we use Data mining to identify new pattern in this complex data, which have an influence on a better outcome after kidney transplantation.