Select Publications

Book Chapters

Gallego B; Concha ÓP; Lin FPY; Coiera EW, 2012, 'Exploring the role of pathology test results in the prediction of remaining days of hospitalisation.', in , pp. 45 - 50

Patricio M; Berlanga A; Perez Concha O; Castanedo F; Garcia J; Molina JM, 2008, 'Computational Intelligence in Visual Sensor Networks. Improving Video Processing Systems', in Hassanien AE; Abraham A; Kacprzyk J (ed.), Studies in Computational Intelligence, Vol. 96: Computational Intelligence in Multimedia Proccesing. Recent Advances, Springer, Berlin, pp. 351 - 378

Garcia J; Perez Concha O; Berlanga A; Molina JM, 2005, 'An evaluation metric for adjusting parameters of surveillance video systems', in Liu JX (ed.), Computer Vision and Robotics, edn. Original, Nova Science Publishers, New York, pp. 311 - 336

Garcia J; Perez Concha O; Berlanga A; Molina JM, 2005, 'An Evolutionary Approach for Designing Multi-Target Tracking video Systems. Evaluation Metrics and Parameters Adjustment', in Cagnoni S; Lutton É; Olague G (ed.), Genetic and Evolutionary Computation for Image Processing and Analysis (EURASIP Book Series on Signal Processing and Communications), edn. First, Hindawi Publishing Corporation, New York NY, pp. 441 - 459

Journal articles

Kuo NIH; Perez-Concha O; Hanly M; Mnatzaganian E; Hao B; Di Sipio M; Yu G; Vanjara J; Valerie IC; de Oliveira Costa J; Churches T; Lujic S; Hegarty J; Jorm L; Barbieri S, 2024, 'Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project', JMIR Medical Education, 10, http://dx.doi.org/10.2196/51388

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Rudd L; Jorm L, 2023, 'The relationship between hyperglycaemia on admission and patient outcome is modified by hyperlactatemia and diabetic status: a retrospective analysis of the eICU collaborative research database', Scientific Reports, 13, http://dx.doi.org/10.1038/s41598-023-43044-7

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2023, 'Automated ICD coding using extreme multi-label long text transformer-based models', Artificial Intelligence in Medicine, 144, http://dx.doi.org/10.1016/j.artmed.2023.102662

Fitzgerald O; Perez-Concha O; Gallego-Luxan B; Metke-Jimenez A; Rudd L; Jorm L, 2023, 'Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit', Journal of Biomedical Informatics, 146, http://dx.doi.org/10.1016/j.jbi.2023.104498

Liu L; Perez-Concha O; Nguyen A; Bennett V; Blake V; Gallego B; Jorm L, 2023, 'Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study.', Interact J Med Res, 12, pp. e46322, http://dx.doi.org/10.2196/46322

Roper L; He VY; Perez-Concha O; Guthridge S, 2023, 'Complex early childhood experiences: Characteristics of Northern Territory children across health, education and child protection data', PLoS ONE, 18, http://dx.doi.org/10.1371/journal.pone.0280648

Fitzgerald O; Concha ÓP; Luxan BG; Metke-Jimenez A; Rudd L; Jorm L, 2023, 'Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit.', CoRR, abs/2304.07025

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, 'De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models', Journal of Biomedical Informatics, 135, http://dx.doi.org/10.1016/j.jbi.2022.104215

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2022, 'Hierarchical label-wise attention transformer model for explainable ICD coding', Journal of Biomedical Informatics, 133, http://dx.doi.org/10.1016/j.jbi.2022.104161

Davies T; Louie JCY; Ndanuko R; Barbieri S; Perez-Concha O; Wu JHY, 2022, 'A Machine Learning Approach to Predict the Added-Sugar Content of Packaged Foods', Journal of Nutrition, 152, pp. 343 - 349, http://dx.doi.org/10.1093/jn/nxab341

Perez-Concha O; Goldstein D; Harris MF; Laaksonen MA; Hanly M; Suchy S; Vajdic CM, 2022, 'Uptake of Team Care Arrangements for adults newly diagnosed with cancer', Australian Journal of Primary Health, 29, http://dx.doi.org/10.1071/py22078

Fitzgerald O; Perez-Concha O; Gallego B; Saxena MK; Rudd L; Metke-Jimenez A; Jorm L, 2021, 'Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU', Journal of the American Medical Informatics Association, 28, pp. 1642 - 1650, http://dx.doi.org/10.1093/jamia/ocab060

Liu L; Perez-Concha O; Nguyen A; Bennett V; Jorm L, 2021, 'De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models', Journal of Biomedical Informatics, 135, pp. 104215, http://dx.doi.org/10.1016/j.jbi.2022.104215

Havard A; Barbieri S; Hanly M; Perez-Concha O; Tran DT; Kennedy D; Jorm LR, 2021, 'Medications used disproportionately during pregnancy: Priorities for research on the risks and benefits of medications when used during pregnancy', Pharmacoepidemiology and Drug Safety, 30, pp. 53 - 64, http://dx.doi.org/10.1002/pds.5131

Barbieri S; Kemp J; Perez-Concha O; Kotwal S; Gallagher M; Ritchie A; Jorm L, 2020, 'Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk', Scientific Reports, 10, http://dx.doi.org/10.1038/s41598-020-58053-z

Schaffer AL; Pearson SA; Perez-Concha O; Dobbins T; Ward RL; Leeuwen MTV; Rhee JJ; Laaksonen MA; Craigen G; Vajdic CM, 2020, 'Diagnostic and health service pathways to diagnosis of cancer-registry notified cancer of unknown primary site (CUP)', PLoS ONE, 15, http://dx.doi.org/10.1371/journal.pone.0230373

Vajdic CM; Perez-Concha O; Rhee JJ; Dobbins T; Ward RL; Schaffer AL; van Leeuwen MT; Laaksonen MA; Craigen G; Pearson SA, 2019, 'Health-related predictors of cancer registry-notified cancer of unknown primary site (CUP)', Cancer Epidemiology, 61, pp. 1 - 7, http://dx.doi.org/10.1016/j.canep.2019.05.001

Vajdic CM; Perez-Concha O; Dobbins T; Ward RL; Schaffer AL; van Leeuwen MT; Rhee JJ; Laaksonen MA; Craigen G; Pearson SA, 2019, 'Demographic, social and lifestyle risk factors for cancer registry-notified cancer of unknown primary site (CUP)', Cancer Epidemiology, 60, pp. 156 - 161, http://dx.doi.org/10.1016/j.canep.2019.04.004

Arguel A; Perez-Concha O; Li SYW; Lau AYS, 2018, 'Theoretical approaches of online social network interventions and implications for behavioral change: a systematic review', Journal of Evaluation in Clinical Practice, 24, pp. 212 - 221, http://dx.doi.org/10.1111/jep.12655

Maali Y; Perez-Concha O; Coiera E; Roffe D; Day RO; Gallego B, 2018, 'Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital', BMC medical informatics and decision making, 18, pp. 1 - 11, http://dx.doi.org/10.1186/s12911-017-0580-8

Wang Y; Coiera E; Gallego B; Concha OP; Ong M; Tsafnat G; Roffe D; Jones G; Magrabi F, 2016, 'Measuring the effects of computer downtime on hospital pathology processes', Journal of biomedical informatics, 59, pp. 308 - 315

Cai X; Perez-Concha O; Coiera E; Martin-Sanchez F; Day R; Roffe D; Gallego B, 2016, 'Real-time prediction of mortality, readmission, and length of stay using electronic health record data', Journal of the American Medical Informatics Association, 23, pp. 553 - 561

Gallego B; Magrabi F; Concha OP; Wang Y; Coiera E, 2015, 'Insights into temporal patterns of hospital patient safety from routinely collected electronic data', HEALTH INFORMATION SCIENCE AND SYSTEMS, 3, http://dx.doi.org/10.1186/2047-2501-3-S1-S2

Zhang Z; Concha OP; Piccardi M, 2015, 'Tracking people under heavy occlusions by layered data association', Multimedia Tools and Applications, 74, pp. 7239 - 7259, http://dx.doi.org/10.1007/s11042-014-1979-1

Concha OP; Gallego B; Hillman K; Delaney GP; Coiera E, 2014, 'Do variations in hospital mortality patterns after weekend admission reflect reduced quality of care or different patient cohorts? A population-based study', BMJ quality & safety, 23, pp. 215 - 222, http://dx.doi.org/10.1136/bmjqs-2013-002218

Coiera E; Wang Y; Magrabi F; Concha OP; Gallego B; Runciman W, 2014, 'Predicting the cumulative risk of death during hospitalization by modeling weekend, weekday and diurnal mortality risks', BMC health services research, 14, pp. 226 - 226, http://dx.doi.org/10.1186/1472-6963-14-226

Borzeshi EZ; Concha OP; Xu RYD; Piccardi M, 2013, 'Joint action segmentation and classification by an extended hidden markov model', IEEE Signal Processing Letters, 20, pp. 1207 - 1210, http://dx.doi.org/10.1109/LSP.2013.2284196

Gallego B; Runciman WB; Perez-Concha O; Liaw S; Day RO; Dunn AG; Coiera E, 2013, 'The management of severe hypertension in Australian general practice', BMC health services research, 13, pp. 414

Otoom AF; Gunes H; Perez Concha O; Piccardi M, 2011, 'MLiT: Mixtures of Gaussians under Linear Transformations', Pattern Analysis and Applications, 14, pp. 193 - 205, http://dl.acm.org/citation.cfm?id=2009895

García J; Pérez O; Berlanga A; Molina JM, 2008, 'An evolutionary approach for designing multitarget tracking video systems', Eurasip Book Series on Signal Processing and Communications, 8, pp. 441 - 466

Rodriguez B; Perez Concha O; Garcia J; Molina JM, 2008, 'Machine Learning Techniques for acquiring new Knowledge in Image Tracking', Applied Artificial Intelligence, 22, pp. 266 - 282, http://dx.doi.org/10.1080/08839510701821652

Patricio M; Carbo J; Perez Concha O; Molina JM, 2007, 'Multi-Agent Framework in Visual Sensor Networks', Eurasip journal on Advances in Signal Processing, 2007, pp. 98639-1 - 98639-21, http://dx.doi.org/10.1155/2007/98639

Garcia J; Perez Concha O; Berlanga A; Molina JM, 2007, 'Video Tracking System Optimization using Evolution Strategies', International Journal of Imaging Systems and Technology, 17, pp. 75 - 90, http://dx.doi.org/10.1002/ima.20100

Molina JM; Garcia J; Perez Concha O; Carbo J; Berlanga A; Portillo JI, 2005, 'Applying fuzzy logic in video surveillance systems', Mathware & Soft Computing, 12, pp. 185 - 198, https://eudml.org/doc/40867

Conference Papers

Luxan BG; Magrabi F; Concha OP; Wang Y; Coiera E, 2013, 'Insights into patterns of healthcare delivery from hospital electronic medical records', in HISA Big Data in Biomedicine and Healthcare 2013 conference, Health Informatics Society of Australia, Melbourne, presented at Big Data in Health and Biomedicine, Melbourne, 18 April 2013 - 19 April 2013

Zare borzeshi E; Perez Concha O; Piccardi M, 2012, 'Human Action Recognition in Video by Fusion of Structural and Spatio-Temporal Features', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 7626, Springer Verlag, Hiroshima, Japan, November 7-9, 2012, pp. 474 - 482, presented at Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), Hiroshima, Japan, 07 November 2012 - 09 November 2012

Perez Concha O; Piccardi M; Yi da xu R; Moghaddam Z, 2011, 'HMM-MIO: an enhanced hidden Markov model for action recognition', in 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Piscataway, NJ, United States, pp. 62 - 69, presented at Computer Vision and Pattern Recognition Workshops (CVPRW), Colorado Springs, CO, 20 June 2011 - 25 June 2011, http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5981803

Xu R; Perez Concha O; Piccardi M, 2010, 'Compressive Sensing of Time Series for Human Action Recognition', in International Conference on Digital Image Computing: Techniques and Applications, Proceedings, IEEE, Sydney, Australia, pp. 454 - 461, presented at Digital Image Computing: Techniques and Applications, Sydney, Australia, 01 December 2010 - 03 December 2010, http://dx.doi.org/10.1109/DICTA.2010.83

Perez Concha O; Xu R; Piccardi M, 2010, 'Robust Dimensionality Reduction for Human Action Recognition', in International Conference on Digital Image Computing: Techniques and Applications, Proceedings, IEEE, Sydney, Australia, pp. 349 - 356, presented at Digital Image Computing: Techniques and Applications, Sydney, Australia, 01 December 2010 - 03 December 2010, http://dx.doi.org/10.1109/DICTA.2010.66

Otoom AF; Perez Concha O; Piccardi M, 2010, 'Mixtures of Gaussian Distributions under Linear Dimensionality Reduction', in Proceedings of the Fifth International Conference on Computer Vision Theory and Applications volume 2, Angers, France, presented at International Conference on Computer Vision Theory and Applications, Angers, France, 17 May 2010 - 21 May 2010

Otoom AF; Perez Concha O; Gunes H; Piccardi M, 2009, 'Mixtures of Normalized Linear Projections', in Lecture Notes in Computer Science vol. 5807, Springer-Verlag, Berlin, pp. 66 - 76, presented at Advanced Concepts for Intelligent Vision Systems. Lectures Notes on Computer Science, Mercure Chateau Chartrons, Bordeaux, France, 28 September 2009 - 02 October 2009, http://dx.doi.org/10.1007/978-3-642-04697-1_7

Perez Concha O; Piccardi M; Garcia J; Molina JM, 2007, 'Comparison of Classifiers for Human Activity Recognition', in Lecture Notes in Computer Science vol. 4528, Springer-Verlag, Berlin, pp. 192 - 201, presented at Second Work-Conference on the Interplay between Natural and Artificial Computation, Murcia, Spain, 18 June 2007 - 21 June 2007, http://dx.doi.org/10.1007/978-3-540-73055-2

Piccardi M; Perez Concha O, 2007, 'Hidden Markov Models with Kernel Density Estimation of Emission Probabilities and their Use in Activity Recognition', in IEEE conference on computer vision and pattern recognition 2007, Minneapolis, MN, pp. 1 - 8, presented at IEEE Conference on Computer Vision and Pattern Recognition, 2007, Minneapolis, MN, 17 June 2007 - 22 June 2007, http://dx.doi.org/10.1109/CVPR.2007.383504

Piccardi M; Perez O, 2007, 'Hidden Markov models with kernel density estimation of emission probabilities and their use in activity recognition', in 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, IEEE, MN, Minneapolis, pp. 3774 - +, presented at IEEE Conference on Computer Vision and Pattern Recognition, MN, Minneapolis, 17 June 2007 - 22 June 2007, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000250382807056&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Perez Concha O; Piccardi M; Garcia J; Molina JM, 2007, 'Comparison between Genetic Algorithms and Baum-Welch algorithm for the adjustment of HMM to Classify Human Activities', in Lecture Notes in Computer Science vol. 4448, Springer-Verlag, Berlin, pp. 399 - 406, presented at Ninth European Workshop on Evolutionary Computation in Image Analysis and Signal Processing, Valencia, Spain, 11 April 2007 - 13 April 2007, http://dx.doi.org/10.1007/978-3-540-71805-5

Pérez O; Piccardi M; García J; Patricio MA; Molina JM, 2007, 'Comparison between genetic algorithms and the Baum-Welch algorithm in learning HMMs for human activity classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 399 - 406, http://dx.doi.org/10.1007/978-3-540-71805-5_44


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