By Dr Oscar Perez Concha

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

Liu L; Concha ÓP; Nguyen A; Bennett V; Jorm L, 2022, 'Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models.', CoRR, abs/2212.05857

Liu L; Concha ÓP; Nguyen AN; Bennett V; Jorm L, 2022, 'Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding.', CoRR, abs/2204.10716

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, pp. 20 - 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

Fitzgerald O; Concha ÓP; 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.', J. Am. Medical Informatics Assoc., 28, pp. 1642 - 1650

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, pp. 1111, 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; van Leeuwen M, 2020, 'Diagnostic and health service pathways to diagnosis of cancer-registry notified cancer of unknown primary site (CUP)', PLoS ONE, 15, pp. e0230373, 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, http://dx.doi.org/10.1093/jamia/ocv110

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

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, pp. s2, http://dx.doi.org/10.1186/2047-2501-3-s1-s2

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; Liaw T, 2013, 'The management of severe hypertension in Australian general practice', BMC health services research, 13, pp. 414, http://dx.doi.org/10.1186/1472-6963-13-414

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

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