Medical Informatics

About Medical Informatics

Medical Informatics concerns the intersection of computer science, statistics and healthcare by using a wide array of tools including optimisation methods, statistical information processing, data science and artificial intelligence. Research aims to tackle the multitude of problems associated within the field of medicine ranging from diagnosis and prediction of disease progression from clinical and omics data, to the identification of sub-categories of disease to develop more personalised interventions and care plans.

Research Papers

• Alyousef, AA., Nihtyanova, S., Denton, C., Bosoni, P., Bellazzi, R. and Tucker, A. (2018) 'Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease'. Journal of Healthcare Informatics Research, 2 (4). pp. 402 - 422. ISSN: 2509-4971
• Yousefi, L., Saachi, L., Bellazzi, R., Chiovato, L. and Tucker, A. (2017) 'Predicting Comorbidities Using Resampling and Dynamic Bayesian Networks with Latent Variables'.2017 IEEE 30th International Symposium on Computer-Based Medical Systems. Thessaloniki, Greece. 13 - 24 June. IEEE. pp. 205 - 206. ISSN: 1063-7125
• Karteris, E. (2017) 'Identification of novel cancer biomarkers of prognostic value using specific gene regulatory networks (GRN): a novel role of RAD51AP1 for ovarian and lung cancers'. Carcinogenesis, 39 (3). pp. 407 - 417. ISSN: 1460-2180
• Bosoni, P., Tucker, A., Bellazzi, R., Nihtyanova, S. and Denton, C. (2016) 'Combining Unsupervised and Supervised Learning for Discovering Disease Subclasses'.IEEE 29th International Symposium on Computer Based Medical Systems. Belfast. 1 - 24 June. IEEE. pp. 225 - 226. ISSN: 1063-7125
• Jilani, MZMB., Tucker, A. and Swift, S. (2016) 'Simultaneous modelling and clustering of visual field data'.The 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast. 16 - 23 June. IEEE. pp. 213 - 218. ISSN: 1063-7125
• Bo, V. and Tucker, A. (2015) 'Integrating Gene Regulatory Networks to identify cancer-specific genes.'. United States. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. pp. 21 - 25. ISSN: 2153-4063
• Bo, V., Curtis, T., Lysenko, A., Saqi, M., Swift, S. and Tucker, A. (2014) 'Discovering Study-Specific Gene Regulatory Networks'. PLoS One, 9 (9). pp. e106524 - e106524. ISSN: 1932-6203
• Ceccon, S., Garway-Heath, D., Crabb, D. and Tucker, A. (2014) 'Exploring early glaucoma and the visual field test: Classification and clustering using Bayesian networks'. IEEE Transactions on Biomedical and Health Informatics, Forthcoming (3). pp. 1008 - 1014. ISSN: 2168-2194
• Li, Y. and Tucker, A. (2014) 'Integrating clinical data from cross-sectional and longitudinal studies'.2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS). Institute of Electrical and Electronics Engineers Inc.. pp. 465 - 466. ISSN: 1063-7125
• Pavlidis, S., Swift, S., Tucker, A. and Counsell, S. (2013) 'The modelling of glaucoma progression through the use of cellular automata'.12th International Symposium on Intelligent Data Analysis (IDA). Royal Stat Soc, London, ENGLAND. 11 - 19 October. Springer Berlin Heidelberg. pp. 322 - 332. ISSN: 0302-9743
• Paterson, A., Ashtari, M., Ribe, D., Stenbeck, G. and Tucker, A. (2012) 'Intelligent data analysis to model and understand live cell time-lapse sequences'. Methods of Information in Medicine, 51 (4). pp. 332 - 340. ISSN: 0026-1270
• Ceccon, S., Garway-Heath, D., Crabb, D. and Tucker, A. (2011) 'Ensembles of Bayesian network classifiers using glaucoma data and expertise', in Okun, O., Valentini, G. and Re, M. (eds.) Ensembles in Machine Learning Applications. Berlin/Heidelberg : Springer-Verlag. , 373. pp. 133 - 150. ISBN 10: 3642229093. ISBN 13: 978-3642229091.
• Anvar, SY., Tucker, A., Vinciotti, V., Venema, A., van Ommen, GB., van der Maarel, SM., et al. (2011) 'Interspecies translation of disease networks increases robustness and predictive accuracy'. PLoS Computational Biology, 7 (11). pp. e1002258 - e1002258. ISSN: 1553-734X
• Li, Y. and Tucker, A. (2010) 'Uncovering disease regions using pseudo time-series trajectories on clinical trial data'.3rd International Conference on BioMedical Engineering and Informatics (BMEI 2010). Yantai, China. 16 - 18 October. IEEE. pp. 2356 - 2362.
• Tucker, A. and Garway-Heath, D. (2010) 'The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data.'. IEEE Trans Inf Technol Biomed, 14 (1). pp. 79 - 85. ISSN: 1558-0032
• Anvar, SY., 't Hoen, PA. and Tucker, A. (2010) 'The identification of informative genes from multiple datasets with increasing complexity'. BMC Bioinformatics, 11 (1). pp. 32 - 32. ISSN: 1471-2105
• Sheng, WG., Tucker, A. and Liu, XH. (2010) 'A niching genetic k-means algorithm and its applications to gene expression data'. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 14 (1). pp. 9 - 19. ISSN: 1432-7643
• Peek, N., Combi, C. and Tucker, A. (2009) 'Biomedical data mining (Editorial)'. Methods of Information in Medicine, 48 (3). pp. 225 - 228. ISSN: 0026-1270
• Steele, E. and Tucker, A. (2009) 'Selecting and weighting data for building consensus gene regulatory networks'.8th International Symposium on Intelligent Data Analysis. Lyon, FRANCE. Springer-Verlag. pp. 190 - 201. ISSN: 0302-9743
• Steele, E., Tucker, A., 't Hoen, PAC. and Schuemie, MJ. (2009) 'Literature-based priors for gene regulatory networks'. Bioinformatics, 25 (14). pp. 1768 - 1774. ISSN: 1367-4803
• Steele, E. and Tucker, A. (2008) 'Consensus and meta-analysis regulatory networks for combining multiple microarray gene expression datasets'. Journal of Biomedical Informatics, 41 (6). pp. 914 - 926. ISSN: 1532-0464
• Swift, S., Tucker, A. and Crampton, J. (2007) 'An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data'.The Genetic and Evolutionary Computation Conference (GECCO 2007). London, ENGLAND. ACM Press. pp. 2174 - 2181.
• Peeling, E., Tucker, A. and 't Hoen, PAC. (2007) 'Discovery of local regulatory structure from microarray gene expression data using Bayesian networks'.Intelligent Data Analysis in Medicine and Pharmacology. [unpublished]
• Hirsch, M., Tucker, A., Swift, S., Martin, N., Orengo, C., Kellam, P. and et al. (2006) 'Improved robustness in time series analysis of gene expression data by polynomial model based clustering'.The Second International Symposium on Computational Life Science (COMPLIFE'06). Cambridge, UK. 27 - 29 September. Springer. pp. 1 - 10. ISSN: 0302-9743
• Tucker, A., 't Hoen, PAC., Vinciotti, V. and Liu, X. (2006) 'Temporal Bayesian classifiers for modelling muscular dystrophy expression data'.6th International Symposium on Intelligent Data Analysis. Madrid, SPAIN. 29 - 10 September. IOS Press. pp. 441 - 455. ISSN: 1088-467X
• Strouthidis, NG., Vinciotti, V., Tucker, AJ., Gardiner, SK., Crabb, DP. and Garway-Heath, DF. (2006) 'Structure and function in glaucoma: the relationship between a functional visual field map and an anatomic retinal map'. Investigative Opthalmology and Visual Science, 47 (12). pp. 5356 - 5362. ISSN: 0146-0404
• Tucker, A., Vinciotti, V., Liu, X. and Garway-Heath, D. (2005) 'A spatio-temporal Bayesian network classifier for understanding visual field deterioration'. Artificial Intelligence in Medicine, 34 (2). pp. 163 - 177. ISSN: 0933-3657
• Tucker, A., Vinciotti, V., Liu, X. and Garway-Heath, D. (2004) 'Bayesian networks to classify visual field data'.The Association for Research in Vision and Ophthalmology Annual Conference (ARVO 2004). Ft Lauderdale, FL. ASSOC RESEARCH VISION OPHTHALMOLOGY INC. pp. U782 - U782. ISSN: 0146-0404
• Vinciotti, V., Tucker, A., Liu, X., Panteris, E. and Kellam, P. (2004) 'Identifying genes with high confidence from small samples'.Workshop on Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions at the European Conference in Artificial Intelligence (ECAI 2004). [unpublished]
• Tucker, A., Garway-Heath, D. and Liu, X. (2003) 'Bayesian classification and forecasting of visual field deterioration'.The Ninth Workshop on Intelligent Data Analysis in Medicine and Pharmacology and Knowledge-Based Information Management in Anaesthesia and Intensive Care. [unpublished]
• Swift, S., Tucker, A., Martin, N. and Liu, XH. (2001) 'Grouping multivariate time series variables: applications to chemical process and visual field data'.20th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES2000). CAMBRIDGE, ENGLAND. ELSEVIER SCIENCE BV. pp. 147 - 154. ISSN: 0950-7051
• Kellam, P., Liu, X., Martin, N., Orengo, C., Swift, S. and Tucker, A. (2001) 'A framework for modelling short, high-dimensional multivariate time series: preliminary results in virus gene expression data analysis'.The Fourth International Symposium on Intelligent Data Analysis (IDA-2001). Heidelberg: Springer. pp. 218 - 227. ISSN: 1611-3349
• Sacchi, L., Tucker, A., Counsell, S., Garway-Heath, D. and Swift, S. (2014) 'Improving predictive models of glaucoma severity by incorporating quality indicators'. Artificial Intelligence in Medicine, 60 (2). pp. 103 - 112. ISSN: 0933-3657
• Li, Y., Swift, S. and Tucker, A. (2013) 'Modelling and analysing the dynamics of disease progression from cross-sectional studies'. Journal of Biomedical Informatics, 46 (2). pp. 266 - 274. ISSN: 1532-0464
• Tang, Y., Wang, Z., Gao, H., Swift, S. and Kurths, J. (2012) 'A constrained evolutionary computation method for detecting controlling regions of cortical networks'. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9 (6). pp. 1569 - 1581. ISSN: 1545-5963
• Pavlidis, S., Swift, S. and Payne, A. (2012) 'Pathway based microarray analysis, utilising enzyme compounds and cascade events'. Methods of Information in Medicine, 51 (4). pp. 323 - 331. ISSN: 0026-1270
• Pavlidis, SP., Payne, AM. and Swift, SM. (2011) 'Multi-membership gene regulation in pathway based microarray analysis'. Algorithms for Molecular Biology, 6 (1). pp. 22. ISSN: 1748-7188
• Ismail, W., Swift, S. and Hassan, R. (2010) 'Detecting leukaemia (AML) blood cells using Cellular Automata and heuristic search'. Lecture Notes in Computer Science, 6065. pp. 54 - 66. ISSN: 0302-9743
• Wang, Z., Yang, F., Ho, DWC., Swift, S., Tucker, A. and Liu, X. (2008) 'Stochastic dynamic modelling of short gene expression time series data'. IEEE Transactions on Nanobioscience, 7 (1). pp. 44 - 55. ISSN: 1536-1241
• Hirsch, M., Swift, S. and Liu, X. (2007) 'Optimal search space for clustering gene expression data via consensus'. Journal of Computational Biology, 14 (10). pp. 1327 - 1341. ISSN: 1066-5277
• Panteris, E., Swift, S., Payne, A. and Liu, X. (2007) 'Mining pathway signatures from microarray data and relevant biological knowledge'. Journal of Biomedical Informatics, 40 (6). pp. 698 - 706. ISSN: 1532-0464
• Swift, S., Tucker, A. and Hirsch, M. (2007) 'Improving the performance of consensus clustering through seeding: an application to visual field data'.The Intelligent Data Analysis in Biomedicine and Pharmacology Workshop (IDAMAP2007). [unpublished]
• Swift, S., Tucker, A. and Crampton, J. (2007) 'An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data'.The Genetic and Evolutionary Computation Conference (GECCO 2007). London, ENGLAND. ACM Press. pp. 2174 - 2181.
• Hirsch, M., Tucker, A., Swift, S., Martin, N., Orengo, C., Kellam, P. and et al. (2006) 'Improved robustness in time series analysis of gene expression data by polynomial model based clustering'.The Second International Symposium on Computational Life Science (COMPLIFE'06). Cambridge, UK. 27 - 29 September. Springer. pp. 1 - 10. ISSN: 0302-9743
• Tucker, A., Crampton, J. and Swift, S. (2005) 'RGFGA: an efficient representation and crossover for grouping genetic algorithms'. Evolutionary Computation, 13 (4). pp. 477 - 499. ISSN: 1063-6560
• Swift, S., Tucker, A., Vinciotti, V., Martin, N., Orengo, C., Liu, X. and et al. (2004) 'Consensus clustering and functional interpretation of gene-expression data'. Genome Biology, 5 (11). pp. R94 - R94. ISSN: 1465-6914
• Swift, S., Tucker, A. and Liu, X. (2004) 'An analysis of scalable methods for clustering high-dimensional gene expression data'. Annals of Mathematics, Computing and Teleinformatics, 1 (2). pp. 80 - 89.
• Kellam, P., Liu, X., Martin, N., Orenga, C., Swift, S. and Tucker, A. (2002) 'A framework for modelling virus gene expression data'. Intelligent Data Analysis, 6 (3). pp. 265 - 279. ISSN: 1088-467X
• Swift, S., Tucker, A., Martin, N. and Liu, XH. (2001) 'Grouping multivariate time series variables: applications to chemical process and visual field data'.20th SGES International Conference on Knowledge Based Systems and Applied Artificial Intelligence (ES2000). CAMBRIDGE, ENGLAND. ELSEVIER SCIENCE BV. pp. 147 - 154. ISSN: 0950-7051
• Zawbaa, HM., Szlȩk, J., Grosan, C., Jachowicz, R. and Mendyk, A. (2016) 'Computational Intelligence Modeling of the Macromolecules Release from PLGA Microspheres-Focus on Feature Selection'. PLoS ONE, 11 (6). pp. e0157610 - e0157610. ISSN: 1932-6203
• OLTEAN, M., GROŞAN, C., DIOŞAN, L. and MIHĂILĂ, C. (2009) 'GENETIC PROGRAMMING WITH LINEAR REPRESENTATION: A SURVEY'. International Journal on Artificial Intelligence Tools, 18 (02). pp. 197 - 238. ISSN: 0218-2130
• Hassanien, AE., Abraham, A. and Grosan, C. (2009) 'Spiking neural network and wavelets for hiding iris data in digital images'. Soft Computing: A Fusion of Foundations, Methodologies and Applications, 13 (4). pp. 401 - 416. ISSN: 1432-7643
• Grosan, C., Abraham, A. and Tigan, S. (2008) 'Multicriteria programming in medical diagnosis and treatments'. Applied Soft Computing, 8 (4). pp. 1407 - 1417. ISSN: 1568-4946
• Abraham, A., Grosan, C. and Tigan, S. (2008) 'Pharmaceutical drug design using dynamic connectionist ensemble networks', in Iwata, S., Ohsawa, Y., Tsumoto, S., Zhong, N., Shi, Y. and Magnani, L. (eds.) Studies in Computational Intelligence. Springer Berlin Heidelberg. , 123. pp. 221 - 231. ISBN 13: 9783540787327.
• Abraham, A., Grosan, C. and Ţigan, S. (2007) 'Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs'. Neural Computing and Applications, 16 (3). pp. 307 - 316. ISSN: 0941-0643
• Grosan, C., Abraham, A. and Ţigan, S. (2007) 'Engineering drug design using a multi-input multi-output neuro-fuzzy system'.2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. W Univ Timisoara, Timisoara, ROMANIA. 1 - 29 September. IEEE. pp. 365 - 371.
• Salazar-Gonzalez, AG., Li, Y. and Liu, X. (2011) 'Optic disc segmentation by incorporating blood vessel compensation'.2011 IEEE SSCI Third International Workshop on Computational Intelligence in Medical Imaging (CIMI 2011). IEEE. pp. 1 - 8.
• Ferdous, MM., Bao, Y., Vinciotti, V., Liu, X. and Wilson, P. (2017) 'Predicting gene expression from genome wide protein binding profiles'. Neurocomputing, 275. pp. 1490 - 1499. ISSN: 0925-2312
• Kaba, D., Wang, Y., Wang, C., Liu, X., Zhu, H., Salazar-Gonzalez, AG. and et al. (2015) 'Retina layer segmentation using kernel graph cuts and continuous max-flow'. OPTICS EXPRESS, 23 (6). pp. 7366 - 7384. ISSN: 1094-4087
• Salazar-Gonzalez, A., Kaba, D., Li, Y. and Liu, X. (2014) 'Segmentation of the blood vessels and optic disk in retinal images'. IEEE Journal of Biomedical and Health Informatics, 18 (6). pp. 1874 - 1886. ISSN: 2168-2194
• Wang, Z., Zineddin, B., Liang, J., Zeng, N., Li, Y., Du, M., et al. (2013) 'A novel neural network approach to cDNA microarray image segmentation'. Comput Methods Programs Biomed, 111 (1). pp. 189 - 198. ISSN: 0169-2607
• Wang, Z., Wu, H., Liang, J., Cao, J. and Liu, X. (2013) 'On modeling and state estimation for genetic regulatory networks with polytopic uncertainties'. IEEE Transactions on Nanobioscience, 12 (1). pp. 13 - 20. ISSN: 1536-1241
• Wang, Z., Eatock, J., McClean, S., Liu, D., Liu, X. and Young, T. (2013) 'Modeling throughput of emergency departments via time series: An expectation maximization algorithm'. ACM Transactions on Management Information Systems, 4 (4). pp. 1 - 16. ISSN: 2158-656X
• Wei, CH., Chen, SY. and Liu, X. (2012) 'Mammogram retrieval on similar mass lesions'. Computer Methods and Programs in Biomedicine, 106 (3). pp. 234 - 248. ISSN: 0169-2607
• Zeng, N., Wang, Z., Li, Y., Du, M. and Liu, X. (2012) 'A hybrid EKF and switching PSO algorithm for joint state and parameter estimation of lateral flow immunoassay models'. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9 (2). pp. 321 - 329. ISSN: 1545-5963
• Wang, Z., Liu, X., Liu, Y., Liang, J. and Vinciotti, V. (2009) 'An extended Kalman filtering approach to modeling nonlinear dynamic gene regulatory networks via short gene expression time series'. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 6 (3). pp. 410 - 419. ISSN: 1557-9964
• Fraser, K., Wang, Z., Li, Y., Kellam, P. and Liu, X. (2008) 'Can graph-cutting improve microarray gene expression reconstructions?'. Pattern Recognition Letters, 29 (16). pp. 2129 - 2136. ISSN: 0167-8655
• Wang, Z., Lam, J., Wei, G., Fraser, K. and Liu, X. (2008) 'Filtering for nonlinear genetic regulatory networks with stochastic disturbances'. IEEE Transactions on Automatic Control, 53 (10). pp. 2448 - 2457. ISSN: 0018-9286
• Zhang, L., Kuljis, J. and Liu, X. (2008) 'Information visualisation for DNA microarray data analysis: a critical review'. IEEE Transactions on Systems, Man and Cybernetics, Part C, 38 (1). pp. 42 - 54. ISSN: 1552-3098
• Wang, Z., Gao, H., Cao, J. and Liu, X. (2008) 'On delayed genetic regulatory networks with polytopic uncertainties: robust stability analysis'. IEEE Transactions on Nanobioscience, 7 (2). pp. 154 - 163. ISSN: 1536-1241
• Yu, KM., Vinciotti, V., Liu, XH. and 't Hoen, PAC. (2007) 'Bayesian median regression for temporal gene expression data'.3rd International Symposium on Computational Life Science. Utrecht, NETHERLANDS. AIP. pp. 60 - 70. ISSN: 0094-243X
• Wei, G., Wang, Z., Shu, H., Fraser, K. and Liu, X. (2007) 'Robust filtering for gene expression time series data with variance constraints'. International Journal of Computer Mathematics, 84 (5). pp. 619 - 633. ISSN: 0020-7160
• Hirsch, M., Tucker, A., Swift, S., Martin, N., Orengo, C., Kellam, P. and et al. (2006) 'Improved robustness in time series analysis of gene expression data by polynomial model based clustering'.The Second International Symposium on Computational Life Science (COMPLIFE'06). Cambridge, UK. 27 - 29 September. Springer. pp. 1 - 10. ISSN: 0302-9743
• Tucker, A., 't Hoen, PAC., Vinciotti, V. and Liu, X. (2006) 'Temporal Bayesian classifiers for modelling muscular dystrophy expression data'.6th International Symposium on Intelligent Data Analysis. Madrid, SPAIN. 29 - 10 September. IOS Press. pp. 441 - 455. ISSN: 1088-467X
• Vinciotti, V., Liu, X., Turk, R., de Meijer, EJ. and 't Hoen, PAC. (2006) 'Exploiting the full power of temporal gene expression profiling through a new statistical test: Application to the analysis of muscular dystrophy data'. BMC Bioinformatics, 7 (1). pp. 183 - 183. ISSN: 1471-2105
• Vinciotti, V., Tucker, A., Kellam, P. and Liu, X. (2006) 'The robust selection of predictive genes via a simple classifier'. Applied Bioinformatics, 5 (1). pp. 1 - 11. ISSN: 1175-5636
• Zhang, LS., Sheng, WG. and Liu, XH. (2005) '3D visualization of gene clusters and networks'.Conference on Visualization and Data Analysis 2005. San Jose, CA. 17 - 18 January. SPIE. pp. 316 - 326. ISSN: 0277-786X
• Panteris, E., Swift, S., Payne, A. and Liu, X. (2005) 'Biochemical pathway analysis via signature mining'.1st International Symposium on Computational Life Science (COMPLIFE'05. Konstanz, GERMANY. Springer Berlin Heidelberg. pp. 12 - 23. ISSN: 0302-9743
• Tucker, A., Garway-Heath, D. and Liu, X. (2003) 'Bayesian classification and forecasting of visual field deterioration'.The Ninth Workshop on Intelligent Data Analysis in Medicine and Pharmacology and Knowledge-Based Information Management in Anaesthesia and Intensive Care. [unpublished]
• Anastasiadis, AD., Magoulas, GD. and Liu, XH. (2003) 'Classification of protein localisation patterns via supervised neural network learning', in Berthold, MR., Lenz, HJ., Bradley, E., Kruse, R. and Borgelt, C. (eds.) Cryptographic Hardware and Embedded Systems - CHES 2003. SPRINGER-VERLAG BERLIN. , 2779/2003. pp. 430 - 439. ISBN 10: 3-540-40813-4.
• Swift, S. and Liu, X. (2002) 'Predicting glaucomatous visual field deterioration through short multivariate time series modelling'. Artificial Intelligence in Medicine, 24 (1). pp. 5 - 24. ISSN: 0933-3657
• Kellam, P., Liu, X., Martin, N., Orengo, C., Swift, S. and Tucker, A. (2001) 'Comparing, contrasting and combining clusters in viral gene expression data'.The Intelligent Data Analysis in Medicine and Pharmacology Workshop (IDAMAP-2001). [unpublished]