Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2008. A statistical evaluation of neural computing approaches to predict recurrent events in breast cancer. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .
| Chapter title | A statistical evaluation of neural computing approaches to predict recurrent events in breast cancer |
|---|---|
| Authors | Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. |
| Abstract | Breast cancer is considered to be the second leading cause of cancer deaths in women today. Sometimes, breast cancer can return after primary treatment. A medical diagnosis of recurrent cancer is often more challenging task than the initial one. In this paper we investigate the potential contribution of intelligent neural networks as a useful tool to support health professionals in diagnosing such events. The neural network algorithms are applied to the breast cancer dataset obtained from Ljubljana Oncology Institute. An extensive statistical analysis has been performed to verify our experiments. The results show that a simple network structure for both the multi-layer perception and radial basis function can produce equally good results, not all attributes are needed to train these algorithms and finally, the classification performances of both algorithms are statistically robust. |
| Book title | Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 |
| Year | 2008 |
| Publisher | IEEE |
| Publication dates | |
| Published | 2008 |
| Place of publication | Los Alamitos, USA |
| ISBN | 9781424417391 |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/IS.2008.4670506 |
| Journal citation | 2, pp. 38-43 |
Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore
Teow, K.L., El-Darzi, E., Foo, C., Jin, X. and Sim, J. 2012. Intelligent analysis of acute bed overflow in a tertiary hospital in Singapore. Journal of Medical Systems. 36 (3), pp. 1873-1882. https://doi.org/10.1007/s10916-010-9646-1
A statistical framework for evaluating neural networks to predict recurrent events in breast cancer
Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2010. A statistical framework for evaluating neural networks to predict recurrent events in breast cancer. International Journal of General Systems. 39 (5), pp. 471-488. https://doi.org/10.1080/03081079.2010.484282
Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system
Gorunescu, F., Belciug, S., El-Darzi, E. and Gorunescu, M. 2010. Patient grouping optimization using a hybrid self-organizing map and Gaussian mixture model for length of stay-based clustering system. in: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings IEEE . pp. 173-178
Evaluating alternative surgery plans with discrete-event simulation model
Fei, H., Meskins, N. and El-Darzi, E. 2010. Evaluating alternative surgery plans with discrete-event simulation model. in: 2010 IEEE Workshop on Health Care Management (WHCM), Italy, 18-20 February 2010 IEEE . pp. 1-6
A partially connected neural network-based approach with application to breast cancer detection and recurrence
Belciug, S. and El-Darzi, E. 2010. A partially connected neural network-based approach with application to breast cancer detection and recurrence. in: 5th IEEE International Conference on Intelligent Systems (IS 2010) proceedings IEEE . pp. 191-196
Support vector machine learning with an evolutionary engine
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. Support vector machine learning with an evolutionary engine. Journal of the Operational Research Society. 60 (8), pp. 1116-1122. https://doi.org/10.1057/jors.2008.124
An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy. in: Abraham, A., Hassanien, A.E., Patrick, S. and Andries, E. (ed.) Foundations of computational intelligence Berlin Heidelberg Springer.
An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy
Stoean, R., Preuss, M., Stoean, C., El-Darzi, E. and Dumitrescu, D. 2009. An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy. in: Hassanien, A.E., Abraham, A., Vasilakos, A.V. and Pedrycz, W. (ed.) Foundations of computational intelligence Berlin Heidelberg Springer.
A rule-based approach to processing SPECT imaging for the diagnosis of heart disease
Revett, K., Salem, A.B.M. and Gorunescu, F. 2009. A rule-based approach to processing SPECT imaging for the diagnosis of heart disease. EMMIT 2009: Euro-Mediterranean Medical Informatics and Telemedicine, 5th International Conference. Beirut, Lebanon 16 - 18 Oct 2009
Evaluation of the feature space of an erythematosquamous dataset using rough sets
Revett, K., Gorunescu, F., Salem, A.B.M. and El-Dahshan, E.S. 2009. Evaluation of the feature space of an erythematosquamous dataset using rough sets. Annals of the University of Craiova - Mathematics and Computer Science Series. 36 (2), pp. 123-130.
Feature selection in Parkinson's disease: a rough sets approach
Revett, K., Gorunescu, F. and Salem, A.B.M. 2009. Feature selection in Parkinson's disease: a rough sets approach. in: Proceedings of the International Multiconference on Computer Science and Information Technology 12 - 14 Oct 2009, Mragowo, Poland IMCSIT.
A machine learning approach to artefact extraction from independent components derived from EEG datasets
Revett, K., Gorunescu, F., El-Dahshan, E.S. and Salem, A.B.M. 2009. A machine learning approach to artefact extraction from independent components derived from EEG datasets. Fourth International Conference on Intelligent Computing and Information Systems (ICICIS 2009). Cairo, Egypt 18 - 22 Mar 2009 pp. 184-189
Machine learning in electrocardiogram diagnosis
Revett, K., Gorunescu, F., El-Dahshan, E.S. and Salem, A.B.M. 2009. Machine learning in electrocardiogram diagnosis. in: Proceedings of the International Multiconference on Computer Science and Information Technology 12 - 14 Oct 2009, Mragowo, Poland IMCSIT.
Using Granular Computing theories for service-oriented systems analysis and design
Huang, W. and El-Darzi, E. 2009. Using Granular Computing theories for service-oriented systems analysis and design. in: IEEE International Conference on Granular Computing (GrC 2009), Nanchang, China, August 17-19, 2009 IEEE . pp. 264-267
Clustering patient length of stay using mixtures of Gaussian models and phase type distributions
Garg, L., McClean, S.I., Meenan, B., El-Darzi, E. and Millard, P.H. 2009. Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. in: Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2009) IEEE . pp. 1-7
Performance analysis of ambulatory services using dicrete event simulation
Fei, H., Meskins, N. and El-Darzi, E. 2009. Performance analysis of ambulatory services using dicrete event simulation. in: Proceedings of the International Conference on Industrial Engineering and Systems Management (IESM' 2009), May 13-15, Montreal, Canada WASET.
Length of stay-based clustering methods for patient grouping
El-Darzi, E., Abbi, R., Vasilakis, C., Gorunescu, F., Gorunescu, M. and Millard, P.H. 2009. Length of stay-based clustering methods for patient grouping. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Berlin Heidelberg Springer.
A decision support system for measuring and modelling the multi-phase nature of patient flow in hospitals
Vasilakis, C., El-Darzi, E. and Chountas, P. 2008. A decision support system for measuring and modelling the multi-phase nature of patient flow in hospitals. in: Chountas, P., Petrounias, I. and Kacprzyk, J. (ed.) Intelligent techniques and tools for novel system architectures Berlin Heidelberg Springer.
An automated predictor of hydrogen gas production from a sucrose based bioreactor system
Revett, K., Gorunescu, F., Gorunescu, M., Nikhil and Ozkaya, B. 2008. An automated predictor of hydrogen gas production from a sucrose based bioreactor system. in: Proceedings of the 8th International Conference on Artificial Intelligence and Digital Communications - AIDC’08 Craiova Universitaria Publishing House. pp. 161-170
Length of stay based grouping and classification methodology for modelling patient flow
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. Length of stay based grouping and classification methodology for modelling patient flow. Journal of Operations and Logisitics. 2 (2), pp. 1-9.
A Gaussian mixture model approach to grouping patients according to their hospital length of stay
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. A Gaussian mixture model approach to grouping patients according to their hospital length of stay. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems (CBMS '08) IEEE . pp. 524-529
Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay
Abbi, R., El-Darzi, E., Vasilakis, C. and Millard, P.H. 2008. Analysis of stopping criteria for the EM algorithm in the context of patient grouping according to length of stay. in: Proceedings of the 4th International IEEE Conference on Intelligent Systems IS'08. Varna, Bulgaria, September, 6-8 2008 Los Alamitos, USA IEEE .
Applying data mining algorithms to inpatient dataset with missing values
Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. 2008. Applying data mining algorithms to inpatient dataset with missing values. Journal of Enterprise Information Management. 21 (1), pp. 81-92. https://doi.org/10.1108/17410390810842273
A machine learning approach to keystroke dynamics based user authentication
Revett, K., Gorunescu, F., Gorunescu, M., Ene, M., Tenreiro de Magalhaes, S. and Dinis Santos, H.M. 2007. A machine learning approach to keystroke dynamics based user authentication. International Journal of Electronic Security and Digital Forensics. 1 (1), pp. 55-70. https://doi.org/10.1504/IJESDF.2007.013592
Generalized Net Model for Outpatient Care in Bulgaria
Tasseva, V., Peneva, D., Atanassov, K.T., El-Darzi, E., Chountas, P. and Vasilakis, C. 2007. Generalized Net Model for Outpatient Care in Bulgaria. in: Proc of Twentieth IEEE International Symposium on Computer-Based Medical Systems, 2007. CBMS '07. IEEE . pp. 701
Extending the gaia methodology for the design and development of agent-based software systems
Huang, W., El-Darzi, E. and Jin, L. 2007. Extending the gaia methodology for the design and development of agent-based software systems. in: Proceedings of the 31st Annual IEEE International Computer Software and Applications Conference (COMPSAC 2007), Peking (Beijing), China, July 23-27 2007 Los Alamitos, USA IEEE .
An OLAP-enabled software environment for modelling patient flow
Vasilakis, C., El-Darzi, E. and Chountas, P. 2006. An OLAP-enabled software environment for modelling patient flow. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 261-266
Authenticating computer access based on keystroke dynamics using a probabilistic neural network
Revett, K., Gorunescu, F., Gorunescu, M., Ene, M., Tenreiro de Magalhaes, S. and Santos, H.M.D. 2006. Authenticating computer access based on keystroke dynamics using a probabilistic neural network. in: 2nd International Conference on Global E-Security, London, UK, 20-22 April 2006 (ICGeS-06) UNKNOWN. pp. 65-71
A machine learning approach to differentiating bacterial from viral meningitis
Revett, K., Gorunescu, F., Gorunescu, M. and Ene, M. 2006. A machine learning approach to differentiating bacterial from viral meningitis. in: IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA'06) Los Alamitos, USA IEEE . pp. 155-162
Healthcare data mining: predicting inpatient length of stay
Liu, P., Lei, L., Yin, J., Zhang, W., Naijun, W. and El-Darzi, E. 2006. Healthcare data mining: predicting inpatient length of stay. in: Proceedings of the 3rd International IEEE Conference on Intelligent Systems Los Alamitos, USA IEEE . pp. 832-837
Agent-based models for community care systems analysis and design
Huang, W., El-Darzi, E., Chountas, P. and Liu, P. 2006. Agent-based models for community care systems analysis and design. in: Proceedings of the 3rd IEEE International Conference on Intelligent Systems (IS-2006) Los Alamitos, USA IEEE . pp. 278-283
A neural computing-based approach for the early detection of hepatocellular carcinoma
Gorunescu, M., Gorunescu, F. and Revett, K. 2006. A neural computing-based approach for the early detection of hepatocellular carcinoma. International Journal of Biomedical Sciences. 1 (4), pp. 255-258.
Length of stay-based patient flow models: recent developments and future directions
Marshall, A.H., Vasilakis, C. and El-Darzi, E. 2005. Length of stay-based patient flow models: recent developments and future directions. Health Care Management Science. 8 (3), pp. 213-220. https://doi.org/10.1007/s10729-005-2012-z
Generalized net model with intuitionistic fuzzy estimations of the process of obtaining of scientific titles and degrees
Shannon, A., Riecan, B., Langova-Orozova, D., El-Darzi, E., Kerre, E., Sotirova, E., Gorunescu, F., Petrounias, I., Trelewicz, J., Atanassov, K.T., Krawczak, M., Chountas, P., Melo-Pinto, P., Georgiev, P., Kim, T. and Tasseva, V. 2005. Generalized net model with intuitionistic fuzzy estimations of the process of obtaining of scientific titles and degrees. Notes on Intuitionistic Fuzzy Sets. 11, pp. 95-114.
A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks
Revett, K., Gorunescu, F., Gorunescu, M., El-Darzi, E. and Ene, M. 2005. A breast cancer diagnosis system: a combined approach using rough sets and probabilistic neural networks. in: EUROCON 2005: the International Conference on "Computer as a Tool": Belgrade, Serbia and Montenegro, November 21-24 2005 London, UK IEEE .
Intuitionistic fuzzy generalised nets in modelling web usage patterns indentification
Petrounias, I., Tseng, A., Chountas, P., El-Darzi, E. and Kodogiannis, V. 2005. Intuitionistic fuzzy generalised nets in modelling web usage patterns indentification. Notes on Intuitionistic Fuzzy Sets. 11 (4), pp. 123-129.
A feature selection procedure and its application in health care
Liu, P., El-Darzi, E., Vasilakis, C., Chountas, P., Huang, W. and Zhu, J. 2005. A feature selection procedure and its application in health care. Craiova Medical Journal.
An analysis of missing data treatment methods and their application to health care dataset
Liu, P., El-Darzi, E., Lei, L., Vasilakis, C., Chountas, P. and Huang, W. 2005. An analysis of missing data treatment methods and their application to health care dataset. in: Li, X., Wang, S. and Dong, Z.Y. (ed.) Advanced Data Mining and Applications: First International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005: proceedings Berlin, Germany Springer.
A heuristic approach in hepatic cancer diagnosis using a probabilistic neural network-based model
Gorunescu, M., Gorunescu, F., Ene, M. and El-Darzi, E. 2005. A heuristic approach in hepatic cancer diagnosis using a probabilistic neural network-based model. in: Janssen, J. and Lenca, P. (ed.) Applied Stochastic Models and Data Analysis Brest, France ENST Bretagne. pp. 1016-1025
A hybrid approach to cancer classification: rough sets and probabilistic neural networks
Gorunescu, F., Gorunescu, M., El-Darzi, E., Gorunescu, S., Revett, K. and Khan, A. 2005. A hybrid approach to cancer classification: rough sets and probabilistic neural networks. in: The First East European Conference on Health Care Modelling and Computation (HCMC 2005). Craiova, Romania, August 31st - September 2nd, 2005 Craiova, Romania Universitatea din Craiova. pp. 149-159
An evolutionary computational approach to probabilistic neural network with application to hepatic cancer diagnosis
Gorunescu, F., Gorunescu, M., El-Darzi, E. and Gorunescu, S. 2005. An evolutionary computational approach to probabilistic neural network with application to hepatic cancer diagnosis. in: Tsymbal, A. and Cunningham, P. (ed.) 18th IEEE Symposium on Computer-Based Medical Systems, 2005: proceedings USA IEEE . pp. 461-466
Representation of factual and temporal unawareness in electronic patient records
Chountas, P., Petrounias, I., El-Darzi, E. and Kodogiannis, V. 2005. Representation of factual and temporal unawareness in electronic patient records. Journal of Computational Methods in Sciences and Engineering. 5 (4), pp. 243-261.
A data warehouse environment for storing and analyzing simulation output data
Vasilakis, C., El-Darzi, E. and Chountas, P. 2004. A data warehouse environment for storing and analyzing simulation output data. in: Ingalls, R.G., Rossetti, M.D., Smith, J.S. and Peters, B.A. (ed.) Proceedings of the 2004 Winter Simulation Conference USA IEEE .
Comparative analysis of data mining algorithms for predicting inpatient length of stay
Liu, P., El-Darzi, E., Vasilakis, C., Chountas, P., Huang, W. and Lei, L. 2004. Comparative analysis of data mining algorithms for predicting inpatient length of stay. Pacific Asia Conference on Information Systems 2004. Bangkok, Thailand 07-10 Jul 2005
Developing an agent oriented emergency service system with AUML and gaia methodology
Huang, W., El-Darzi, E. and Beer, M.D. 2004. Developing an agent oriented emergency service system with AUML and gaia methodology. in: Proceedings of the International Conference on Computer, Communication and Control Technologies (CCCT '04), University of Texas, U.S.A, August 14-17, 2004 USA IEEE . pp. 244-252
On uncertainty and data-warehouse design
Chountas, P., Petrounias, I., Vasilakis, C., Tseng, A., El-Darzi, E., Atanassov, K.T. and Kodogiannis, V. 2004. On uncertainty and data-warehouse design. in: Yakhno, T. (ed.) Advances in Information Systems: Third International Conference, ADVIS 2004, Izmir, Turkey, October 20-22, 2004: proceedings Berlin, Germany Springer.
Temporality and intuitionistic fuzzy data warehouses
Chountas, P., Petrounias, I., Vasilakis, C., El-Darzi, E., Tseng, A., Kolev, B., Kodogiannis, V. and Georgiev, P. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes in Intuitionistic Fuzzy Sets. 10 (4), pp. 47-55.
Temporality and intuitionistic fuzzy data warehouses
Chountas, P., Petrounias, I., Vasilakis, C. and El-Darzi, E. 2004. Temporality and intuitionistic fuzzy data warehouses. Notes on Intuitionistic Fuzzy Sets. 10 (4), pp. 47-55.
Data cube modelling and OLAP algebra for hospital length of stay analysis
Vasilakis, C., El-Darzi, E. and Chountas, P. 2003. Data cube modelling and OLAP algebra for hospital length of stay analysis. Craiova Medicala Journal: Proceedings of The 1st MEDINF International Conference on Medical Informatics & Engineering. 5 (3), pp. 509-512.
Representation and modelling of electronic patient records
Sivagurunathan, K., Chountas, P. and El-Darzi, E. 2003. Representation and modelling of electronic patient records. in: Proceedings of the International Conference of Computational Methods in Sciences and Engineering 2003 (ICCMSE 2003): Kastoria, Greece, September 12-16 New Jersey, USA World Scientific Publishing. pp. 598-603
Data warehouses-TOLAP-decision making
Chountas, P., Vasilakis, C., El-Darzi, E., Petrounias, I. and Tseng, A. 2003. Data warehouses-TOLAP-decision making. in: IEEE International Conference on Systems, Man and Cybernetics, 2003 USA IEEE .
Using a queueing model to help plan bed allocation in a department of geriatric medicine
Gorunescu, F., McClean, S.I. and Millard, P.H. 2002. Using a queueing model to help plan bed allocation in a department of geriatric medicine. Health Care Management Science. 5 (4), pp. 307-312. https://doi.org/10.1023/A:1020342509099
A queueing model for bed-occupancy management and planning of hospitals
Gorunescu, F., McClean, S.I. and Millard, P.H. 2002. A queueing model for bed-occupancy management and planning of hospitals. Journal of the Operational Research Society. 53 (1), pp. 19-24.
Representation of temporal unawareness
Chountas, P., Petrounias, I., Atanassov, K.T., Kodogiannis, V. and El-Darzi, E. 2002. Representation of temporal unawareness. in: Yakhno, T. (ed.) Advances in Information Systems: Second International Conference, ADVIS 2002, Izmir, Turkey, October 23-25 London, UK Springer.
Representation and querying of temporal conflict
Chountas, P., Petrounias, I., Atanassov, K.T., Kodogiannis, V. and El-Darzi, E. 2002. Representation and querying of temporal conflict. in: Troels, A. (ed.) Flexible query answering systems: 5th International Conference, FQAS 2002, Copenhagen, Denmark, October 2002 London, UK Springer.
A simulation study of the winter bed crisis
Vasilakis, C. and El-Darzi, E. 2001. A simulation study of the winter bed crisis. Health Care Management Science. 4 (1), pp. 31-36. https://doi.org/10.1023/A:1009649615548
The LH5 model for data mining
El-Darzi, E. and Parapadakis, D. 2001. The LH5 model for data mining. First International Conference of Electronic Business. Hong Kong 19-21 Dec 2001 pp. 467-478
Editorial: Modelling the process of care
Chaussalet, T.J. and El-Darzi, E. 2001. Editorial: Modelling the process of care. Health Care Management Science. 4 (1), p. 5. https://doi.org/10.1023/A:1009659711914
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