Biography
I am a Lecturer in Health Informatics at Keele University and an honorary Lecturer at the University of Manchester, having been appointed in 2015. My research interests are in statistical and machine learning modelling of large-scale databases, with special attention to applications in health and bioinformatics.
In 2008, I was awarded with a PhD in Computer Science from the Technical University of Catalonia, Spain, being Bayesian modelling of multivariate time series the main topic of my thesis. Since then, and before joining Keele, I worked as a postdoctoral researcher, firstly at the Autonomous University of Barcelona (1 year), and then, at the University of Manchester (5 years), being involved in several research projects in statistical machine learning and Bayesian methods with applications in neuroimaging, public health and bioinformatics.
Research and scholarship
ISTM Research Theme: Health Service Research Unit
My main areas of research are:
- Statistical machine learning methods
- Bayesian modelling
- Large-scale dataset analysis, focussing on public health and bioinformatics data.
I am a fellow of the Royal Statistical Society, a member of the International Society of Bayesian Analysis, and a member of the IEEE Medical Data Analysis Task Force of the Computational Intelligence Society.
Selected Publications
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Modelling conditions and health care processes in electronic health records: an application to severe mental illness with the clinical practice research datalink. PLoS One. doi> full text>2016.
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From raw data to data-analysis for magnetic resonance spectroscopy--the missing link: jMRUI2XML. BMC Bioinformatics, 378, vol. 16. link> doi> full text>2015.
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ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records. PLoS One, e99825, vol. 9(6). link> doi> full text>2014.
- 2013.
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A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients. Neurocomputing, 1301-1314, vol. 74. doi>2011.
Full Publications Listshow
Journal Articles
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Changes in Periprocedural Bleeding Complications Following Percutaneous Coronary Intervention in The United Kingdom Between 2006 and 2013 (from the British Cardiovascular Interventional Society). Am J Cardiol, 952-960, vol. 122(6). link> doi> full text>2018.
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Association of different antiplatelet therapies with mortality after primary percutaneous coronary intervention. Heart, 1683-1690, vol. 104(20). link> doi> full text>2018.
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Meta-QSAR: a large-scale application of meta-learning to drug design and discovery. Machine Learning, 285-311, vol. 107(1). link> full text>2017.
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Impact of Access Site Practice on Clinical Outcomes in Patients Undergoing Percutaneous Coronary Intervention Following Thrombolysis for ST-Segment Elevation Myocardial Infarction in the United Kingdom : An Insight From the British Cardiovascular Intervention Society Dataset. JACC: Cardiovascular Interventions, 2258-2265, vol. 10(22). doi> link> full text>2017.
- 2017.
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Review of early hospitalization after percutaneous coronary intervention. International Journal of Cardiology. doi> link> full text>2017.
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Impact of Co-morbid burden on mortality in patients with coronary heart disease, heart failure and cerebrovascular accident: A systematic review and meta-analysis. European Heart Journal - Quality of Care and Clinical Outcomes. doi> full text>2016.
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MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis. NMR in biomedicine. doi> full text>2016.
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Modelling conditions and health care processes in electronic health records: an application to severe mental illness with the clinical practice research datalink. PLoS One. doi> full text>2016.
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Primary care consultation rates among people with and without severe mental illness: a UK cohort study using the Clinical Practice Research Datalink. BMJ Open, e008650, vol. 5(12). link> doi> full text>2015.
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From raw data to data-analysis for magnetic resonance spectroscopy--the missing link: jMRUI2XML. BMC Bioinformatics, 378, vol. 16. link> doi> full text>2015.
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Inequalities in physical comorbidity: a longitudinal comparative cohort study of people with severe mental illness in the UK. BMJ Open, e009010, vol. 5(12). link> doi> full text>2015.
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ClinicalCodes: an online clinical codes repository to improve the validity and reproducibility of research using electronic medical records. PLoS One, e99825, vol. 9(6). link> doi> full text>2014.
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Can analyses of electronic patient records be independently and externally validated? The effect of statins on the mortality of patients with ischaemic heart disease: a cohort study with nested case-control analysis. BMJ Open, e004952, vol. 4(4). link> doi> full text>2014.
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A novel semi-supervised methodology for extracting tumor type-specific MRS sources in human brain data. PLoS One, e83773, vol. 8(12). link> doi> full text>2013.
- 2013.
- 2011.
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A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients. Neurocomputing, 1301-1314, vol. 74. doi>2011.
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The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses. BMC Bioinformatics, 581, vol. 11. link> doi> full text>2010.
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SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system. BMC Bioinformatics, 106, vol. 11. doi> full text>2010.
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Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy. MAGMA, 5-18, vol. 22(1). link> doi> full text>2009.
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Variational Bayesian Generative Topographic Mapping. J. Math. Model. Algorithms, 371-387, vol. 7. doi>2008.
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Advances in clustering and visualization of time series using GTM through time. Neural Networks, 904-913, vol. 21. doi>2008.
Other
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Meta-QSAR: Learning How to Learn QSARs. In J. Vanschoren, P. Brazdil, CG. Giraud-Carrier & L. Kotthoff (Eds.). MetaSel@PKDD/ECML (pp. 104-105, vol. 1455). CEUR-WS.org. link>2015.
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Automatic relevance source determination in human brain tumors using Bayesian NMF. 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM) (pp. 99-104). link>2014.
- 2014.
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Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DATA MINING (CIDM) (pp. 93-98). link>2014.
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A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences. ESANN. link>2011.
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Kernel generative topographic mapping. ESANN. link>2010.
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Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. ESANN. link>2010.
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Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis. ESANN. link>2010.
- 2008.
- 2008.
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Variational GTM. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2007 (pp. 77-86, vol. 4881). link>2007.
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Time series relevance determination through a topology-constrained hidden Markov model. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2006, PROCEEDINGS (pp. 40-47, vol. 4224). link>2006.
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Comparative assessment of the robustness of missing data imputation through generative topographic mapping. COMPUTATIONAL INTELLIGENCE AND BIOINSPIRED SYSTEMS, PROCEEDINGS (pp. 787-794, vol. 3512). link>2005.
School of Medicine
David Weatherall building
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Keele University
Staffordshire
ST5 5BG
Tel: +44 (0) 1782 733937
Email: medicine.reception@keele.ac.uk
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