Publikation

Missing Data Estimation for Cancer Diagnosis Support

Outline:

W. Jacak, K. Pröll - Missing Data Estimation for Cancer Diagnosis Support - Proccedings of 23rd IEEE European Modeling & Simulation Symposium EMSS 2011, Roma, Italien, 2011, pp. 1-6

Abstract:

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.

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