Journal Papers
1. Pang, B. C., K. Vellasamy, R. Joshi, H. Yin, K. K. Lee, B. T. Ang, J. Lee, T. Y. Leong and I. Ng. A Hybrid Outcome Prediction Model for Severe Trauma Brain Injury. Journal of Neurotrauma, to appear.
2. Li, G. L., T. Y. Leong and L. X. Zhang (2005). Translation Initiation Sites Prediction with Mixture Gaussian Models in Human cDNA Sequences. IEEE Transactions on Knowledge and Data Engineering 17: 1152-1160.
3. Li, G. L. and T. Y. Leong (2005a). Evaluation of data encoding measures for Translation Initiation Sites Prediction. Genomics, Proteomics & Bioinformatics 3 (2005): 73 83
4. Sarkar, M. and T. Y. Leong (2003). Characterization of medical time series using fuzzy similarity-based fractal dimensions. Artificial Intelligence in Medicine 27(2): 201-222.
5. Lim, T. K., J. Cherian, K. L. Poh and T. Y. Leong (2000). The rapid diagnosis of smear negative pulmonary tuberculosis: A cost-effectiveness analysis. Respirology 5(4): 403-409.
6. Wang, C. G., T. Y. Leong, A. P. K. Leong and F. C. Seow (2000). Knowledge-based formulation of dynamic decision models in medicine (Abstract). Medical Decision Making 18(4): 458.
7. Cao, C. G., T.-Y. Leong, et al. (1998a). Dynamic decision analysis in medicine: A data-driven approach. International Journal of Medical Informatics 51: 13-28.
8. Leong, T. Y. (1998). Multiple perspective reasoning. Artificial Intelligence 105(1-2): 209-261.
Selected Conference Papers
1. Liu, J., T. Y. Leong, K. B. Chee, B. P. Tan, B. Shuter and S. C. Wang (2006) Set based Cascading Approaches for Magnetic Resonance Image Segmentation (SCAMIS). In Proceedings of the 2006 American Medical Informatics Association (AMIA) Annual Symposium, Washington, DC.
2. Joshi, R. and T. Y. Leong (2006) Patient specific Inference and Situation dependent Classification using Context sensitive networks. In Proceedings of the 2006 American Medical Informatics Association (AMIA) Annual Symposium, Washington DC.
3. Jiang, C. A., T. Y. Leong and K. L. Poh (2005). PGMC: A Framework for Probabilistic Graphic Model Combination. In Proceedings of the 2005 American Medical Informatics Association (AMIA) Annual Symposium: 370-374. Washington, DC.
4. Han, B. and T. Y. Leong (2004). We did the right thing: An intervention analysis approach to modeling intervened SARS propagation in Singapore. In Proceedings of World Congress on Medical Informatics (MEDINFO), pp. 1246-1250.
5. Li, X., R. Joshi, S. Ramachandaran and T. Y. Leong (2004). Classifying Biomedical Citations without Labeled Training Examples. In Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 455-458.
6. Lin, L., K. L. Poh, T. Y. Leong and T. K. Lim (2004). 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.
7. Wong, S. S., A. P. K. Leong and T. Y. Leong (2004). Cost-effectiveness analysis of colorectal cancer screening strategies in Singapore: A dynamic decision analytic approach. In Proceedings of World Congress on Medical Informatics (MEDINFO), pp. 104-108.
8. Zhu, A. L., J. Li and T. Y. Leong (2003). 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.
9. Dora, C. S., M. Sarkar, S. Sundaresh, D. Harmanec, T. T. Yeo, K. L. Poh and T.-Y. Leong (2001). Building decision support systems for treating severe head injuries. In IEEE International Conference on Systems, Man and Cybernetics, pp. 2952-2957.
10. Li, J. and T. Y. Leong (2001). PDL: A definition language for trend pattern representation and detection in medicine. In Proceedings of American Medical Informatics Association Annual Fall Symposium (AMIA), pp. 373-378. Hanley & Balfus.
11. Qi, X. Z. and T.-Y. Leong (2001). Constructing Influence Views from Data to Support Dynamic Decision Making in Medicine. In Proceedings of World Congress on Medical Informatics (MEDINFO), pp. 1389-93.
12. Sarkar, M. and T.-Y. Leong (2001a). Fuzzy k-means clustering with missing values. In Proceedings of American Medical Informatics Association Annual Fall Symposium (AMIA), pp. 588-592. Hanley & Balfus.
13. Sarkar, M. and T.-Y. Leong (2001b). Fuzzy similarity based fractal dimensions to characterize medical time series. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML), pp. 465-472. Williams College, Williamstown, MA, USA, Morgan Kaufmann.
14. Sarkar, M. and T.-Y. Leong (2001c). Nonparametric techniques to extract fuzzy rules for breast cancer diagnosis problem. In Proceedings of World Congress on Medical Informatics (MEDINFO), pp. 1394-1398. London, UK.
15. Sarkar, M. and T.-Y. Leong (2001d). Splice junction classification problems for dna sequences: Representation issues. In Proceedings of IEEE International Conference on Engineering in Medicine and Biology, pp. 2895 - 2898.
16. Sarkar, M. and T.-Y. Leong (2001e). Top-down approaches to abstract medical time series using linear segments. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 765-770.
17. Sarkar, M., X. Z. Qi, K. L. Poh and T.-Y. Leong (2001). Performance of existing prognostic factors to diagnose colorectal cancer -- a critical view. In IEEE International Conference on Engineering in Medicine and Biology, pp. 3909-3912.
18. Lu, T. C., M. J. Druzdel and T. Y. Leong (2000). Causal mechanism-based model construction. In Uncertainty in Artificial Intelligence 2000, pp. 353-362.
19. Li, J. and T. Y. Leong (2000). Using simple linear regression functions to abstract medical data. In Proceedings of the American Medical Informatics Association Annual Fall Symposium (AMIA), pp. 492-496.
20. Sarkar, M. and T. Y. Leong (2000). Application of k-nearest neighbors algorithm on breast cancer diagnosis problem. In Proceedings of the American Medical Informatics Association Annual Fall Symposium (AMIA), pp. 759-763. Los Angeles, California.
21. Zhao, F. and T. Y. Leong (2000). A data preprocessing framework for supporting probability-learning in dynamic decision modeling in medicine. In Proceedings of the American Medical Informatics Association Annual Fall Symposium (AMIA), pp. 933-937.
Invited Book or Magazine Chapters
1. Duzdzel, M. J. and T. Y. Leong, "Challenges to decision support in a changing world. In Anderson, M. L.et. al., Reports of the 2005 AAAI Spring Symposium Series". AI Magazine, 26, no. 2 (Summer 2005): 87 92.
2. Leong, T. Y. (2003). Decision Support Systems in Healthcare: Emerging Trends and Success Factors. Applied Decision Support with Soft Computing. X. Yu, J. Kacprzyk and C. Carlsson, Springer-Verlag: 151-179.
Selected Technical Workshop Papers (Refereed)
1. Jiang, C. A., K. L. Poh and T. Y. Leong (2005). 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, pp. 40-47. Stanford University.
2. Joshi, R. and T. Y. Leong (2005). Adaptive Modeling Framework for Systems Biology. In Proceedings of the 2005 AAAI Spring Symposium on Challenges to Decision Support in a Changing World, pp. 48-53. Stanford University.
3. Li, G. L. and T. Y. Leong (2005). 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, pp. 66-72. Stanford University.
4. Li, G., T. Y. Leong and L. Zhang (2004). Translation Initiation Sites Prediction with Mixture Gaussian Models. In Proceedings of the 4th Workshop on Algorithms in Bioinformatics (WABI 2004), LNBI 3240, (Bergen, Norway, 2004), 338-349.
5. Han, B., T. Y. Leong and G. L. Li (2004). Learning the Dynamic Bayesian Networks Structure of Ventilation Process in a Linear System Identification Perspective. In Proceedings of the IEEE Workshop on Life Science Data Mining. Brighton, U. K.
6. Joshi, R., X. L. Li, S. Ramachandaran and T. Y. Leong (2004). Automatic Model Structuring from Text using BioMedical Ontology. In Proceedings of the American Association for Artificial Intelligence (AAAI) Workshop on Adaptive Text Extraction and Mining (ATEM-2004). San Jose, California.
7. Leong, T. Y. (2004). Knowledge Discovery and Datamining: An Integrative Approach to Support Evidence-Based Medicine. In Proceedings of International Workshop on Knowledge Discovery in BioMedicine (KDbM-04). Auckland, New Zealand.
8. Ong, C. H. and T. Y. Leong (2004). Supporting Decision-Making in Intrusion Detection. In Proceedings of the American Association for Artificial Intelligence (AAAI) Workshop on Sensor Networks.
9. Zhu, A. L. and T. Y. Leong (2000). Automating dynamic decision model construction to support clinical practical guideline development. In EWGLP 2000, Workshop Proceedings, pp. 73-87.
Selected Recent Invited Presentations
1. Leong, T. Y. From Genes to Humans: An Integrated Approach to Biomedical Computing. Presented at the MIT Laboratory for Computational Physiology, Cambridge, Massachusetts, USA, November 2006.
2. Leong, T. Y. Probabilistic Graphical Approaches to Uncertainty Modeling in Biomedical Computing. Presented at the MIT Laboratory for Electromagnetic and Electronic Systems, Cambridge, Massachusetts, USA, November 2006.
3. Leong, T. Y. From Genes to Humans: An Integrated Approach to Biomedical Computing. Presented at the Shanghai Key Laboratory of Intelligent Information Processing, Shanghai, People’s Republic of China, May 2006.
4. Leong, T. Y. Decision support systems in healthcare – Toward evidence-based practice. Presented at the Symposium on Interoperable Medical Registry Systems. Singapore General Hospital, Singapore, January 2002.
5. Leong T. Y. Decision Support Systems in Health Care - An Introduction. Invited lecture given at the Faculty of Medicine, NUS, Singapore, 2000.