TY - GEN
T1 - A new hybrid agent-based modeling & simulation decision support system for breast cancer data analysis
AU - Siddiqa, Amnah
AU - Niazi, Muaz
AU - Mustafa, Farah
AU - Bokhari, Habib
AU - Hussain, Amir
AU - Akram, Noreen
AU - Shaheen, Shabnum
AU - Ahmed, Fouzia
AU - Iqbal, Sarah
PY - 2009
Y1 - 2009
N2 - In this paper, we present a novel technique of building hybrid decision support systems which integrates traditional decision support systems with agent based models for use in breast cancer analysis for better prediction and recommendation. Our system is based on using queries from data (converted to a standardized electronic template) to provide for simulation variables in an agent-based model. The goal is to develop an ICT tool to assist non-specialist biologist researcher users in performing analysis of large amounts of data by applying simple simulation techniques. To demonstrate the effectiveness of this novel decision support system, an extensive breast cancer data collection exercise was carried out with the support of Hospitals in a previously unexplored region. The collected data was subsequently integrated in an electronic medical record filing system for patients. We also demonstrate the application of agent based modeling and simulation techniques for building simulation models of tumor growth and treatment. Our proposed decision support system also provides a comprehensive query tool which facilitates the use of retrieved data in statistical tools 2 for subsequent interpretation and analysis.
AB - In this paper, we present a novel technique of building hybrid decision support systems which integrates traditional decision support systems with agent based models for use in breast cancer analysis for better prediction and recommendation. Our system is based on using queries from data (converted to a standardized electronic template) to provide for simulation variables in an agent-based model. The goal is to develop an ICT tool to assist non-specialist biologist researcher users in performing analysis of large amounts of data by applying simple simulation techniques. To demonstrate the effectiveness of this novel decision support system, an extensive breast cancer data collection exercise was carried out with the support of Hospitals in a previously unexplored region. The collected data was subsequently integrated in an electronic medical record filing system for patients. We also demonstrate the application of agent based modeling and simulation techniques for building simulation models of tumor growth and treatment. Our proposed decision support system also provides a comprehensive query tool which facilitates the use of retrieved data in statistical tools 2 for subsequent interpretation and analysis.
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U2 - 10.1109/ICICT.2009.5267202
DO - 10.1109/ICICT.2009.5267202
M3 - Conference contribution
AN - SCOPUS:70449863102
SN - 9781424446094
T3 - 2009 International Conference on Information and Communication Technologies, ICICT 2009
SP - 134
EP - 139
BT - 2009 International Conference on Information and Communication Technologies, ICICT 2009
T2 - 2009 International Conference on Information and Communication Technologies, ICICT 2009
Y2 - 15 August 2009 through 16 August 2009
ER -