Missing Data Estimation for Cancer Diagnosis Support

Witold Jacak, Karin Pröll

Research output: Chapter in Book/Report/Conference proceedingsConference contribution

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.
Original languageEnglish
Title of host publicationProccedings of 23rd IEEE European Modeling & Simulation Symposium EMSS 2011
Pages1-6
Publication statusPublished - 2011
Event23rd IEEE European Modeling & Simulation Symposium EMSS 2011 - Roma, Italy
Duration: 12 Sep 201114 Sep 2011
http://www.msc-les.org/conf/emss2011/

Workshop

Workshop23rd IEEE European Modeling & Simulation Symposium EMSS 2011
CountryItaly
CityRoma
Period12.09.201114.09.2011
Internet address

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