Missing Data Estimation for Cancer Diagnosis Support

Witold Jacak; Karin Pröll

Missing Data Estimation for Cancer Diagnosis Support

Witold Jacak, Karin Pröll

Research Center Hagenberg

Research output: Chapter in Book/Report/Conference proceedings › Conference 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 language	English
Title of host publication	Proccedings of 23rd IEEE European Modeling & Simulation Symposium EMSS 2011
Pages	1-6
Publication status	Published - 2011
Event	23rd IEEE European Modeling & Simulation Symposium EMSS 2011 - Roma, Italy Duration: 12 Sept 2011 → 14 Sept 2011 http://www.msc-les.org/conf/emss2011/

Workshop

Workshop	23rd IEEE European Modeling & Simulation Symposium EMSS 2011
Country/Territory	Italy
City	Roma
Period	12.09.2011 → 14.09.2011
Internet address	http://www.msc-les.org/conf/emss2011/

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This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{6f67cae4ef2741a6ae4890618a189406,

title = "Missing Data Estimation for Cancer Diagnosis Support",

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.",

author = "Witold Jacak and Karin Pr{\"o}ll",

year = "2011",

language = "English",

pages = "1--6",

booktitle = "Proccedings of 23rd IEEE European Modeling & Simulation Symposium EMSS 2011",

note = "23rd IEEE European Modeling & Simulation Symposium EMSS 2011 ; Conference date: 12-09-2011 Through 14-09-2011",

url = "http://www.msc-les.org/conf/emss2011/",

}

TY - GEN

T1 - Missing Data Estimation for Cancer Diagnosis Support

AU - Jacak, Witold

AU - Pröll, Karin

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://www.msc-les.org/conf/emss2011

M3 - Conference contribution

SP - 1

EP - 6

BT - Proccedings of 23rd IEEE European Modeling & Simulation Symposium EMSS 2011

T2 - 23rd IEEE European Modeling & Simulation Symposium EMSS 2011

Y2 - 12 September 2011 through 14 September 2011

ER -

Missing Data Estimation for Cancer Diagnosis Support

Abstract

Workshop

UN SDGs

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