Oscar Perez-Concha
Oscar Perez-Concha
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Real-time prediction of mortality, readmission, and length of stay using electronic health record data
X Cai, O Perez-Concha, E Coiera, F Martin-Sanchez, R Day, D Roffe, ...
Journal of the American Medical Informatics Association 23 (3), 553-561, 2016
Do variations in hospital mortality patterns after weekend admission reflect reduced quality of care or different patient cohorts? A population-based study
OP Concha, B Gallego, K Hillman, GP Delaney, E Coiera
BMJ quality & safety 23 (3), 215-222, 2014
Multi-agent framework in visual sensor networks
MA Patricio, J Carbó, O Pérez, J Garcia, JM Molina
EURASIP Journal on Applied Signal Processing 2007 (1), 226-226, 2007
Benchmarking Deep Learning Architectures for predicting Readmission to the ICU and Describing patients-at-Risk
S Barbieri, J Kemp, O Perez-Concha, S Kotwal, M Gallagher, A Ritchie, ...
Nature Scientific Reports, 2020
Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital
Y Maali, O Perez-Concha, E Coiera, D Roffe, RO Day, B Gallego
BMC medical informatics and decision making 18, 1-11, 2018
Hidden markov models with kernel density estimation of emission probabilities and their use in activity recognition
M Piccardi, Ó Pérez
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007
Predicting the cumulative risk of death during hospitalization by modeling weekend, weekday and diurnal mortality risks
E Coiera, Y Wang, F Magrabi, OP Concha, B Gallego, W Runciman
BMC health services research 14, 1-9, 2014
Hierarchical label-wise attention transformer model for explainable ICD coding
L Liu, O Perez-Concha, A Nguyen, V Bennett, L Jorm
Journal of Biomedical Informatics 133, 104161, 2022
Measuring the effects of computer downtime on hospital pathology processes
Y Wang, E Coiera, B Gallego, O Perez-Concha, MS Ong, G Tsafnat, ...
Journal of biomedical informatics 59, 308-315, 2016
Comparison between genetic algorithms and the baum-welch algorithm in learning hMMs for human activity classification
Ó Pérez, M Piccardi, J García, M Patricio, J Molina
Applications of Evolutionary Computing, 399-406, 2007
Joint action segmentation and classification by an extended hidden Markov model
EZ Borzeshi, OP Concha, RY Da Xu, M Piccardi
IEEE Signal Processing Letters 20 (12), 1207-1210, 2013
Demographic, social and lifestyle risk factors for cancer registry-notified cancer of unknown primary site (CUP)
CM Vajdic, O Perez-Concha, T Dobbins, RL Ward, AL Schaffer, ...
Cancer Epidemiology 60, 156-161, 2019
Trajectory classification based on machine-learning techniques over tracking data
J García, OP Concha, JM Molina, G De Miguel
2006 9th International Conference on Information Fusion, 1-8, 2006
Computational intelligence in visual sensor networks: improving video processing systems
M Patricio, F Castanedo, A Berlanga, O Perez, J García, J Molina
Computational Intelligence in Multimedia Processing: Recent Advances, 351-377, 2008
Insights into temporal patterns of hospital patient safety from routinely collected electronic data
B Gallego, F Magrabi, OP Concha, Y Wang, E Coiera
Health Information Science and Systems 3, 1-10, 2015
HMM-MIO: an enhanced hidden Markov model for action recognition
OP Concha, RY Da Xu, Z Moghaddam, M Piccardi
CVPR 2011 WORKSHOPS, 62-69, 2011
Compressive sensing of time series for human action recognition
OP Concha, RY Da Xu, M Piccardi
2010 International Conference on Digital Image Computing: Techniques and …, 2010
Improving the segmentation stage of a pedestrian tracking video-based system by means of evolution strategies
Ó Pérez, M Patricio, J García, J Molina
Applications of Evolutionary Computing, 438-449, 2006
Theoretical approaches of online social network interventions and implications for behavioral change: a systematic review
A Arguel, O Perez‐Concha, SYW Li, AYS Lau
Journal of evaluation in clinical practice 24 (1), 212-221, 2018
Comparison of classifiers for human activity recognition
Ó Pérez, M Piccardi, J García, J Molina
Nature Inspired Problem-Solving Methods in Knowledge Engineering, 192-201, 2007
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