1. S.S. Xu, K.L. Poh and E.J. Horvitz. Value of information analysis in decision models using undirected graphs. Submitted to International Journal of Information Technology and Decision Making.

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Our team includes academics, researchers, clinicians, and students at the National University of Singapore, with collaborators from local and overseas institutions and hospitals.

Our research aims to develop novel computational and decision support techniques and frameworks that are simple, effective, and useful, both in general and in biomedicine.

Our technologies focus on modeling, reasoning, learning, and decision analysis in changing, uncertain, and resource-limited environments.

Our projects range from basic research on fundamental methodologies to applicaton-driven translational work with demonstrated practical promise.

Our work contributes towards establishing Singapore as a regional center for biomedical decision analysis and clinical outcomes research.

Our work also provides general expertise and advanced infrastructure for facilitating cost-effective health care, evaluating biomedical technologies, and delivering personalized medicine.

The website has been substantially revamped, with a new look and feel as well as new content being updated.

1. J. Liu, T.Y. Leong, Chee K. B., Tan B. P., Shuter B., and Wang S.C. A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image Segmentation. In Proceeding of the 8th International Conference on Enterprise Information Systems (Pattern Recognition) (2006).
2. J. Liu, T.Y. Leong, Chee Kin Ban, Tan Boon Pin, Shuter Borys, Wang Shih-Chang. Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS). 2006 Annual Conference of American Medical Informatics Association (To Appear)
3. J. Liu, T.Y. Leong, Tan Boon Pin Eric, Chee Kin Ban, Shuter Borys, Wang Shi-Chang. A Set-based Hybrid Approach (SHA) for MRI Segmentation. The 9th International Conference on Control, Automation, Robotics and Vision 2006 (submitted).
4. G. Li, T.-Y. Leong, L. Zhang, B. Han, Estimating Relative Transcriptional Time Delays from Multiple Microarray Time-Series Data, The 3rd Annual RECOMB Satellite Workshop on Regulatory Genomics (2006) 138-139.

1. K.L. Poh, K.W. Choo and C.G. Wong. A heuristic approach to the multi-period multi-commodity transportation problem, Journal of the Operational Research Society, 56(6):708-718, 2005.
2. P.K. Pek and K.L. Poh. Making Decisions in an Intelligent Tutoring System, International Journal of Information Technology and Decision Making, 4(2):207-233, June 2005.
3. P.K. Pek and K.L. Poh. A Bayesian Tutoring System for Newtonian Mechanics: Can it Adapt to Different Learners? Journal of Educational Computing Research 31(3):281-307, 2005.
4. G. Li, T.-Y. Leong and L. Zhang, Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences, IEEE Transactions on Knowledge and Data Engineering, 17 (2005), pp. 1152-1160
5. G. Li and T.-Y. Leong, Feature Selection for the Prediction of Translation Initiation Sites, Genomics, Proteomics & Bioinformatics, 3 (2005), pp. 73-83.
   

1. G.Q. Liu, M. Xie, Y.S. Dai and K.L. Poh. On program and file assignment for distributed systems. International Journal of Computer Systems Science & Engineering, 2004.
2. M. Sarkar. Ruggedness measures of medical time series using fuzzy-rough sets and fractals. To appear in Fuzzy Sets and Systems, 2004.

1. M. Sarkar and T.Y. Leong. Characterization of medical time series using fuzzy similarity-based fractal dimensions. Artificial Intelligence in Medicine 27(2):201-222, 2003.
2. W. Wang and K.L. Poh. Fuzzy MCDM based on confidence analysis. Fuzzy Economic Review 8(2):25-38, 2003.

1. C.A. Jiang, K.L. Poh and T.Y. Leong. Integration of Probabilistic Graphic Models for Decision Support. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
2. C.A. Jiang, K.L. Poh and T.Y. Leong. PGMC: A Framework for Probabilistic Graphic Model Combination. In American Medical Informatics Association Annual Symposium (AMIA) 2005, Washington, DC.
3. G.L. Li and T.Y.Leong, A framework to learn Bayesian Networks from changing, multiple-source biomedical data. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
4. L. Lin, L. Wong, T.Y. Leong, and P.S. Lai. LinkageTracker: A Discriminative Pattern Tracking Approach to Linkage Disequilibrium Mapping. In the International Conference on Database Systems for Advanced Applications (DASFAA), Beijing - China , 18-20 April 2005.
5. R. Joshi, and T.Y.Leong, Adaptive Modeling Framework for Systems Biology. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
6. Y.F. Zeng and K.L. Poh. Graphical Multiagent Decision Model: Towards Adaptability. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
7. Y.F. Zeng, G.Q. Liu and K.L. Poh. Grid-enabled Bayesian Network. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.
8. Y.P. Xiang and K.L. Poh. Constructing Bayesian Network in a Changing World. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World. March 21-23, 2005, Stanford University.

1. B. Han, T.Y. Leong. We did the right thing: An intervention analysis approach to modeling intervened SARS propagation in Singapore. In Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2004.
2. B. Han, T.Y. Leong, G.L. Li. Learning the Dynamic Bayesian Networks Structure of Ventilation Process in a Linear System Identification Perspective. In IEEE Workshop on Life Science Data Mining, 2004.
3. C.H. Ong, T.Y. Leong. Supporting Decision-Making in Intrusion Detection.In American Association for Artificial Intelligence (AAAI) Workshop, 2004.
4. G.L. Li and T.Y. Leong. A feature-based data mining approach to improve translation initiation site prediction. In Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2004.
5. G.L. Li, T.Y. Leong, L.X. Zhang. Translation Initiation Sites Prediction with Mixture Gaussian Models. In Proceedings of the 4th Workshop on Algorithms in Bioinformatics (WABI 2004), (Bergen, Norway, 2004) 338-349
6. L. Lin, K.L. Poh, T.Y. Leong and T.K. Lim. Optimal time for surgical intervention in the management of spontaneous pneumothorax: a dynamic decision analytic approach. In Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA2004), Gold Coast - Australia, 12-14 July 2004.
7. L.Lin, L.Wong, T.Y. Leong, and P.S. Lai. Mining of Disease Associated Haplotype Patterns for Hemophilia A. In Asia-Pacific Conference on Human Genetics (HUGO2004), Biopolis , Singapore , 17-20 November 2004.
8. R. Joshi, X.L. Li, S. Ramachandaran, T.Y. Leong. Automatic Model Structuring from Text using BioMedical Ontology. In American Association for Artificial Intelligence (AAAI) Workshop, 2004.
9. S.P. Chan and K.L. Poh. Application of Bayesian Linear Regression in Biomedical Research. To appear in SGH Proceedings, 2004.
10. S.S. Wong, A.P.K. Leong, T.Y. Leong. Cost-effectiveness analysis of colorectal cancer screening strategies in Singapore: A dynamic decision analytic approach. In Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2004.
11. T.L. Tay, K.M. Ng, and K.L. Poh. Job rostering with personnel and equipment constraints. In H.S. Hwang, M. Gen and C. Moon (Editors), Proceedings of the 33rd International Conference on Computers and Industrial Engineering: New Paradigm of Industrial Engineering; Creative Enhancement of IE Technology and Application, Korea, March 25-27, 2004.
12. X.L. Li, T.Y. Leong. A support vector machine approach to solving the breast cancer diagnosis problem. In Proceedings of Congress of International Medical Informatics Association (MEDINFO), 2004.
13. X.L. Li, R. Joshi, S. Ramachandaran, T.Y. Leong. Classifying Biomedical Citations without Labeled Training Examples. In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2004.
14. Y.F. Zeng and K.L. Poh. Graphical Multiagent Decision Model with Conflicting Information. To appear in Proceedings of the International Conference on Advances in Intelligent Systems - Theory and Applications in cooperation with IEEE Computer Society - AISTA’2004.
15. Y.F. Zeng and K.L. Poh. Block Learning Bayesian Network Structures from data. In Proceedings of the Fourth International Conference on Hybrid Intelligent Systems (HIS’04), IEEE Computer Society, 2004.
16. Y.P. Xiang and K.L. Poh. Building bayesian network for probabilistic situation assessment. In Proceedings of the Fifth Asia-Pacific Industrial Engineering and Management Systems Conference (APIEM2004), Gold Coast, Australia December 12-15, 2004.

1. A.L. Zhu, J. Li and T.Y. Leong. Automated knowledge extraction for decision model construction: A data mining approach. In Proceedings of the American Medical Informatics Association (AMIA) Annual Fall Symposium, pp. 758-762, 2003.
2. B. Liu, Y. Dai, X.L. Li, W. S. Lee and P. Yu. Building text classifiers using positive and unlabeled examples. In Proceedings of the Third IEEE International Conference on Data Mining (ICDM-03), November 19-22, Melbourne, Florida, pp179-186, 2003.
3. G. Chen and K.L. Poh. Mutual fund performance appraisals: A mean-variance data envelopment analysis model. In Z. Jiang, X. Qian and Z Jiang (editors), Proceedings of IE&EM’2003, The Tenth International Conference on Industrial Engineering & Engineering Management: Global Industrial Engineering in E-century, Shanghai, pp 277, 2003.
4. G.Q. Liu, K.L. Poh and M. Xie. A parallel tabu search for reliability-based program and file allocation. In Proceedings of the Eighth Annual International Conference on Industrial Engineering Theory, Applications and Practice, Las Vegas, pp 974-979, 2003.
5. L. Yi, B. Liu and X.L. Li. Eliminating noisy information in web pages for data mining. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD-2003), Washington DC, pp 296-305, 2003.
6. L. Lin, K.L. Poh, T.Y. Leong and T.K. Lim. Optimal time for surgical intervention in the management of spontaneous pneumothorax: A decision analysis. In Programme & Abstracts of the 2003 International Conference on Evidence-based Medicine (ICEBM’2003), October 18-19, Singapore, pp 67, 2003.
7. W. Wang and K.L. Poh. Multicriteria decision making based on confidence analysis in fuzzy environment. In Y. Liu, G. Chen, M. Ying and K.Y. Cai (Editors), Proceedings of the International Conference on Fuzzy Information Processing: Theories and Applications (FIP2003), pp 643-648, 2003.
8. W. Wang and K.L. Poh. Fuzzy MCDM based on confidence analysis. In E.L. Gonzalez and C.M. Cuervo (Editors), Proceedings of the Tenth International Association for Fuzzy-Set Management and Economy Congress: Emergent Solutions for the Information and Knowledge Economy, October 9-11, Leon, Spain, Vol. II, pp. 3-15, 2003.
9. X.L. Li and B. Liu. Learning to classify texts using positive and unlabeled data. In Proceedings of Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-2003), August 9-15, Acapulco, Mexico, pp 587-592, 2003.
10. Y.F. Zeng and K.L. Poh. A symbolic method for structure verification in multiply sectioned Bayesian networks. In A. Abraham, M. Kpppen and K. Franke (editors), Design and Application of Hybrid Intelligent Systems, Netherlands, pp 379-388, 2003.
11. Y.F. Zeng and K.L. Poh. Approximate inference in multiply sectioned Bayesian networks: Method, evaluation and framework. In P. Vadakkepat, W.W. Tan, K.C. Tan, and A.P. Loh (editors), Proceedings of the Second International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003), Singapore, pp 40, 2003.