The paper presents a heterogeneous neural network based system that can be used for estimation of missing tumor marker values in patient data and in a second step for calculating the possibility of a cancerous disease. For estimation of missing values we use different approaches: neural network based estimation of a specific marker depending on existing values of a related marker and neural network based estimation of missing tumor markers depending on standard blood parameter measurements. Finally we compare the results for calculating the possibility of a cancerous disease using different methods for missing value estimation of patient data.
|Title of host publication||Proccedings of 23rd IEEE European Modeling & Simulation Symposium EMSS 2011|
|Publication status||Published - 2011|
|Event||23rd IEEE European Modeling & Simulation Symposium EMSS 2011 - Roma, Italy|
Duration: 12 Sep 2011 → 14 Sep 2011
|Workshop||23rd IEEE European Modeling & Simulation Symposium EMSS 2011|
|Period||12.09.2011 → 14.09.2011|