Publications

Methods for enhancing the reproducibility of biomedical research findings using. 2021.

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data in England.[version 1; referees: awaiting peer review]. 2021.

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Identifying clinically important COPD sub-types using data-driven approaches in primary. 2021.

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A Trainable Model to Assess the Accuracy of Probabilistic Record Linkage. Springer, Cham, 2021.

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Net clinical benefit of warfarin in individuals with atrial fibrillation across stroke risk and across primary and secondary care.. 2021.

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ISAHealth 2016 Organizing Committee. 2021.

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Type 2 diabetes and COVID-19--Related mortality in the critical care setting: a national cohort study in England, March--July 2020. Diabetes Care, 2021.

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Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure. JAMIA Open, 2021.

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The relationship between glycaemia, cognitive function, structural brain outcomes and dementia: A Mendelian randomisation study in the UK Biobank. Diabetes, 2021.

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The association between mechanical ventilator availability and mortality risk in intensive care patients with COVID-19: A national retrospective cohort study. medRxiv, 2021.

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Temporal trends in heart failure medication prescription in a population-based cohort study. BMJ open, 2021.

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Real world evidence on 5661 patients treated for macular oedema secondary to branch retinal vein occlusion with intravitreal anti-vascular endothelial growth factor, intravitreal dexamethasone or macular laser. British Journal of Ophthalmology, 2021.

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Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity. BMJ open, 2021.

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Obesity during the COVID-19 pandemic: both cause of high risk and potential effect of lockdown? A population-based electronic health record study. Public health, 2021.

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Linking electronic health records for research on a nationwide cohort including over 54 million people in England. medRxiv, 2021.

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Incidence, healthcare-seeking behaviours, antibiotic use and natural history of common infection syndromes in England: results from the Bug Watch community cohort study. BMC infectious diseases, 2021.

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Identifying high-risk groups for change in weight and body mass index: population cohort of 11 million measurements in 2.3 million adults. medRxiv, 2021.

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Hospital readmission among people experiencing homelessness in England: a cohort study of 2772 matched homeless and housed inpatients. J Epidemiol Community Health, 2021.

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Hospital bed capacity and usage across secondary healthcare providers in England during the first wave of the COVID-19 pandemic: a descriptive analysis. BMJ open, 2021.

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Feasibility study of hospital antimicrobial stewardship analytics using electronic health records. JAC-Antimicrobial Resistance, 2021.

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Data-driven identification of ageing-related diseases from electronic health records. Scientific reports, 2021.

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An Informatics Consult approach for generating clinical evidence for treatment decisions. medRxiv, 2021.

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A national retrospective cohort study of mechanical ventilator availability and its association with mortality risk in intensive care patients with COVID-19. medRxiv, 2021.

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A genetics-first approach to dissecting the heterogeneity of autism: phenotypic comparison of autism risk copy number variants. American Journal of Psychiatry, 2021.

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Weight change and the incidence of cardiovascular diseases in adults with normal weight, overweight and obesity without chronic diseases; emulating trials using electronic health records. medRxiv, 2020.

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Validity of UK electronic health records to study migrant health: a population-based cohort study. European Journal of Public Health, 2020.

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Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records. Studies in health technology and informatics, 2020.

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Type 2 Diabetes and COVID-19--Related Mortality in the Critical Care Setting: A National Cohort Study in England, March--July 2020. Diabetes Care, 2020.

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Trajectories of Disease Accumulation Using Electronic Health Records. Studies in health technology and informatics, 2020.

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The relationship between glycaemia, cognitive function, structural brain outcomes and dementia: A Mendelian randomization study in the UK Biobank. medRxiv, 2020.

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The 4C Initiative (Clinical Care for Cardiovascular disease in the COVID-19 pandemic): monitoring the indirect impact of the coronavirus pandemic on services for cardiovascular diseases in the UK. medRxiv, 2020.

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Selective recruitment designs for improving observational studies using electronic health records. Statistics in Medicine, 2020.

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Real world evidence on 5661 patients treated for macular oedema secondary to branch retinal vein occlusion with intravitreal anti-vascular endothelial growth factor, intravitreal dexamethasone or macular laser. British Journal of Ophthalmology, 2020.

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Polygenic risk scores for coronary artery disease and subsequent event risk amongst established cases. Human molecular genetics, 2020.

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Obesity during the COVID-19 pandemic: cause of high risk or an effect of lockdown? A population-based electronic health record analysis in 1 958 184 individuals.. medRxiv, 2020.

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Multicentre study of 4626 patients assesses the effectiveness, safety and burden of two categories of treatments for central retinal vein occlusion: intravitreal anti-vascular endothelial growth factor injections and intravitreal Ozurdex injections. British Journal of Ophthalmology, 2020.

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Monitoring indirect impact of COVID-19 pandemic on services for cardiovascular diseases in the UK. Heart, 2020.

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Models for mortality require tailoring in the context of the COVID-19 pandemic--Authors' reply. The Lancet, 2020.

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Lifetime risk of cardiovascular-renal disease in type 2 diabetes: a population-based study in 473399 individuals. European Heart Journal, 2020.

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Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study. Wellcome Open Research, 2020.

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IEA. International Journal of Epidemiology, 2020.

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How to estimate the association between change in a risk factor and a health outcome?. arXiv preprint arXiv:2012.11291, 2020.

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Healthcare use by people who use illicit opioids (HUPIO): development of a cohort based on electronic primary care records in England. Wellcome Open Research, 2020.

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Healthcare resource utilisation and mortality outcomes in international migrants to the UK: analysis protocol for a linked population-based cohort study using Clinical Practice Research Datalink (CPRD), Hospital Episode Statistics (HES) and the Office for National Statistics (ONS). Wellcome Open Research, 2020.

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Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure. Nature communications, 2020.

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Excess deaths in people with cardiovascular diseases during the COVID-19 pandemic.. medRxiv, 2020.

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Estimating the effect of reduced attendance at emergency departments for suspected cardiac conditions on cardiac mortality during the COVID-19 pandemic. Circulation: Cardiovascular Quality and Outcomes, 2020.

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Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. The Lancet, 2020.

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Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity: near real-time data on cancer care, cancer deaths and a population-based cohort study. BMJ Open, 2020.

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Emulating a target trial in case-control designs: an application to statins and colorectal cancer. International Journal of Epidemiology, 2020.

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Electronic Health Records to Predict Gestational Diabetes Risk. Trends in Pharmacological Sciences, 2020.

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Diabetes and COVID-19 Related Mortality in the Critical Care Setting: A Real-Time National Cohort Study in England. Available at SSRN 3615999, 2020.

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Clinical academic research in the time of Corona: a simulation study in England and a call for action. medRxiv, 2020.

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Big data in epilepsy: clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy. Epilepsia, 2020.

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Antibiotic prescribing in UK care homes 2016--2017: retrospective cohort study of linked data. BMC health services research, 2020.

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An interdisciplinary mixed-methods approach to developing antimicrobial stewardship interventions: Protocol for the Preserving Antibiotics through Safe Stewardship (PASS) Research Programme. Wellcome Open Research, 2020.

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Allergic disease, corticosteroid use, and risk of Hodgkin lymphoma: A United Kingdom nationwide case-control study. Journal of Allergy and Clinical Immunology, 2020.

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A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems.. medRxiv, 2020.

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A national initiative in data science for health: an evaluation of the UK Farr Institute. International journal of population data science, 2020.

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A geotemporal survey of hospital bed saturation across England during the first wave of the COVID-19 Pandemic. medRxiv, 2020.

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92 aetiologic factors for heart failure: prevalence, co-occurrence, prognosis and potential for prevention in 170,885 incident HF cases. European Heart Journal, 2020.

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Validity of using UK primary care electronic health records to study migration and health: a population-based cohort study. The Lancet, 2019.

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UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. Journal of the American Medical Informatics Association, 2019.

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The relationship between sleep duration, cognition and dementia: a Mendelian randomization study. International journal of epidemiology, 2019.

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The Centre for Data and Knowledge Integration for Health (CIDACS): Linking Health and Social Data in Brazil. Swansea University, 2019.

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Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis. EP Europace, 2019.

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Socioeconomic deprivation and regional variation in Hodgkin�s lymphoma incidence in the UK: A population-based cohort study of 10 million individuals. BMJ Open, 2019.

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Risk of mortality and cardiovascular events following macrolide prescription in chronic rhinosinusitis patients: a cohort study using linked primary care electronic health records. Rhinology, 2019.

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Risk factors for incident heart failure in age-and sex-specific strata: a population-based cohort using linked electronic health records. European journal of heart failure, 2019.

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Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource. Studies in Health Technology and Informatics, 2019.

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Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9. BMC cardiovascular disorders, 2019.

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P5705 Machine learning for phenotyping and risk prediction in cardiovascular diseases: a systematic review. European Heart Journal, 2019.

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P1-554 DISCOVERING SUBTYPES OF ALZHEIMER�S DISEASE USING ELECTRONIC HEALTH RECORDS. Alzheimer’s & Dementia, 2019.

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Network Structures and Dynamics Of Early Dementia Events Recorded in Primary Care Electronic Health Records. Proceedings of the 9th International Conference on Digital Public Health, 2019.

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Natural language processing for disease phenotyping in UK primary care records for research: a pilot study in myocardial infarction and death. Journal of biomedical semantics, 2019.

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Metformin use and cardiovascular outcomes after acute myocardial infarction in patients with type 2 diabetes: a cohort study. Cardiovascular Diabetology, 2019.

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Mental health and behavioural problems in children with XXYY: a comparison with intellectual disabilities. Journal of Intellectual Disability Research, 2019.

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Machine learning for phenotyping and risk prediction in cardiovascular diseases: a systematic review. EUROPEAN HEART JOURNAL, 2019.

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Improving the odds of drug development success through human genomics: modelling study. Scientific Reports, 2019.

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Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records. BMC Medical Informatics and Decision Making, 2019.

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Hospital Readmissions Among People Experiencing Homelessness: A Cohort Study of Linked Hospitalisation and Mortality Data in England for 3,222 Homeless Inpatients. 2019.

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Genome-wide association study provides new insights into the genetic architecture and pathogenesis of heart failure. bioRxiv, 2019.

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Exploring hybrid parallel systems for probabilistic record linkage. The Journal of Supercomputing, 2019.

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Expert panel process to optimise the design of a randomised controlled trial in chronic rhinosinusitis (the MACRO programme).. 2019.

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Expert panel process to optimise the design of a randomised controlled trial in chronic rhinosinusitis (the MACRO programme). Trials, 2019.

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Employment Cost Index, Historical Listing--Volume V: Continuous Occupational and Industry Series: September 1975-December 2017. Table 4: employment cost index for total compensation, for civilian workers, by occupation and industry: continuous occupational and industry series.. Circulation, 2019.

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Dementia recognition, diagnosis, and treatment in the UK, 1997--2017: a change-point analysis. The Lancet, 2019.

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Classification of atherothrombotic events in myocardial infarctions survivors with supervised machine learning using data from an electronic health record system. International Conference on Informatics, Management and Technology in Healthcare (ICIMTH), 2019.

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Clarithromycin and endoscopic sinus surgery for adults with chronic rhinosinusitis with and without nasal polyps: study protocol for the MACRO randomised controlled trial. Trials, 2019.

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Causes of death among homeless people: a population-based cross-sectional study of linked hospitalisation and mortality data in England.. Wellcome open research, 2019.

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Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis. BMC medicine, 2019.

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Avoidable flaws in observational analyses: an application to statins and cancer. Nature Medicine, 2019.

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Associations between measures of sarcopenic obesity and risk of cardiovascular disease and mortality: a cohort study and Mendelian randomization analysis using the UK Biobank. Journal of the American Heart Association, 2019.

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Association of polygenic risk scores for coronary artery disease with subsequent events amongst established cases. medRxiv, 2019.

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Antibiotic usage in chronic rhinosinusitis: analysis of national primary care electronic health records. Rhinology, 2019.

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Analyzing the heterogeneity of rule-based EHR phenotyping algorithms in CALIBER and the UK Biobank. BioRxiv, 2019.

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A novel metadata management model to capture consent for record linkage in longitudinal research studies. Informatics for Health and Social Care, 2019.

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A chronological map of 308 physical and mental health conditions from 4 million individuals in the English National Health Service. The Lancet Digital Health, 2019.

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Valvular Atrial Fibrillation: Electronic Health Record-Derived Phenotypes, Trends in Prevalence and Prognosis. Circulation, 2018.

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Time spent at blood pressure target and the risk of death and cardiovascular diseases. PloS one, 2018.

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REAL-WORLD DATA SOURCES FOR HEART FAILURE RESEARCH: A SYSTEMATIC REVIEW. Value in Health, 2018.

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On the accuracy and scalability of probabilistic data linkage over the Brazilian 114 million cohort. IEEE journal of biomedical and health informatics, 2018.

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Discovery of Novel COPD Subtypes Via Cluster Analysis of Clinical Features Extracted from Electronic Health Records. D13. IMPROVING DIAGNOSIS, CARE QUALITY, AND ADHERENCE IN COPD, 2018.

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Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database. International Journal of Medical Informatics, 2018.

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Clinically recorded heart rate and incidence of 12 coronary, cardiac, cerebrovascular and peripheral arterial diseases in 233,970 men and women: A linked electronic health record study. European Journal of Preventive Cardiology, 2018.

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Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data. NIPS ML4H: Machine Learning for Health arXiv preprint arXiv:1811.11005, 2018.

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An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors. BMJ open, 2018.

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A Position Statement on Population Data Science: The science of data about people. International Journal of Population Data Science, 2018.

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White cell count in the normal range and short-term and long-term mortality: international comparisons of electronic health record cohorts in England and New Zealand. BMJ open, 2017.

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Treating heterogeneity and uncertainty in data integration: study on Brazilian healthcare databases.. International Journal of Population Data Science, 2017.

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Time at Blood Pressure Target and the Risk of Cardiovascular Diseases and Mortality. Circulation, 2017.

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The gene ontology handbook. Springer Nature, 2017.

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Summary of published papers relating to individual studies in the programme. Using nationwide �big data�from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme, 2017.

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Stable coronary artery disease: risk prediction and cost-effective targeting of interventions. Using nationwide �big data�from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme, 2017.

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Serotonin reuptake inhibitors and mortality in epilepsy: A linked primary-care cohort study. Epilepsia, 2017.

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Risk factor modification among people without established cardiovascular disease. Using nationwide �big data�from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme, 2017.

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Reply: Neutrophil Count Is Associated With Risks of Cardiovascular Diseases. Journal of the American College of Cardiology, 2017.

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Programme grants for applied research. Using Nationwide �Big Data�from Linked Electronic Health Records to Help Improve Outcomes in Cardiovascular Diseases, 2017.

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Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population-based linked electronic health record cohort study in 2.1 million people. European journal of heart failure, 2017.

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Prognosis of undiagnosed chest pain: linked electronic health record cohort study. bmj, 2017.

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Probabilistic integration of large Brazilian socioeconomic and clinical databases. 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), 2017.

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Preface: The 2nd International Workshop on Knowledge Discovery in Healthcare Data (KDH). CEUR Workshop Proceedings, 2017.

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Personalising the decision for prolonged dual antiplatelet therapy: development, validation and potential impact of prognostic models for cardiovascular events and bleeding in myocardial infarction survivors. European heart journal, 2017.

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Outcomes of specialist discharge coordination and intermediate care schemes for patients who are homeless: analysis protocol for a population-based historical cohort. BMJ open, 2017.

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Neutrophil counts and initial presentation of 12 cardiovascular diseases: a CALIBER cohort study. Journal of the American College of Cardiology, 2017.

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Net clinical benefit of warfarin in individuals with atrial fibrillation across stroke risk and across primary and secondary care. Heart, 2017.

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Methods for enhancing the reproducibility of clinical epidemiology research in linked electronic health records: results and lessons learned from the CALIBER platform. International Journal of Population Data Science, 2017.

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Low-density lipoprotein cholesterol and atrial fibrillation; A Mendelian randomization study using UK-Biobank data. International Journal of Population Data Science, 2017.

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International Journal of Population Data Science. International Journal of Population Data Science, 2017.

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Initial presentation with stable chest pain: opportunities using a clinical decision support system--the Optimising the Management of Angina programme. Using nationwide �big data�from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme, 2017.

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Inequalities in the incidence of 12 cardiovascular diseases across the patient journey. Using nationwide �big data�from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme, 2017.

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Identification and validation of myocardial infarction and stroke outcomes at scale in UK Biobank. International Journal of Population Data Science, 2017.

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Flipping the odds of drug development success through human genomics. bioRxiv, 2017.

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Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms. arXiv preprint arXiv:1707.07673, American Medical Informatics Association Annual Symposium 2017, 2017.

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Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data. arXiv preprint arXiv:1703.02116 EFMI Informatics for Health 2017, 2017.

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Evaluating openEHR for storing computable representations of electronic health record phenotyping algorithms. arXiv preprint arXiv:1704.08193 IEEE Biomedical and Health Informatics 2017, 2017.

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Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients. PloS one, 2017.

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Establishing a framework to study cardiovascular diseases across the patient journey: underlying methodology and approaches. Using nationwide �big data�from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme, 2017.

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Discovering and Validating Disease Subtypes for Heart Failure using Unsupervised Machine Learning Methods. Circulation, 2017.

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Conclusions and implications for clinical practice and further research. Using nationwide �big data�from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme, 2017.

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Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus. AMIA Annual Symposium Proceedings, 2017.

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Big data from electronic health records for early and late translational cardiovascular research: challenges and potential. European Heart Journal, 2017.

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Association between clinically recorded alcohol consumption and initial presentation of 12 cardiovascular diseases: population based cohort study using linked health records. BMJ, 2017.

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Acute myocardial infarction: missed opportunities for treatment during and after hospitalisation. Using nationwide �big data�from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme, 2017.

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Accuracy of probabilistic record linkage applied to the Brazilian 100 million cohort project. 2017.

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A machine learning trainable model to assess the accuracy of probabilistic record linkage. International Conference on Big Data Analytics and Knowledge Discovery, 2017.

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Using big data from health records from four countries to evaluate chronic disease outcomes: a study in 114 364 survivors of myocardial infarction. European Heart Journal-Quality of Care and Clinical Outcomes, 2016.

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The tip of the iceberg: challenges of accessing hospital electronic health record data for biological data mining. BioMed Central, 2016.

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Prolonged dual antiplatelet therapy in stable coronary disease: comparative observational study of benefits and harms in unselected versus trial populations. bmj, 2016.

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Prognostic burden of heart failure diagnosed in primary care or secondary care: a population-based linked electronic health record cohort study in 2.1 million people: 675. European Journal of Heart Failure, 2016.

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Low levels of LDL-cholesterol and incidence of a wide range of cardiovascular diseases: a linked electronic health records cohort of 550,000 people. 2016.

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Low eosinophil and low lymphocyte counts and the incidence of 12 cardiovascular diseases: a CALIBER cohort study. Open heart, 2016.

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Heart failure following myocardial infarction: a cohort study of incidence and prognostic factors in 24 745 patients using linked electronic records. 2016.

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Discussion of'Combining Health Data Uses to Ignite Health System Learning'(vol 54, pg 488, 2015). METHODS OF INFORMATION IN MEDICINE, 2016.

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Depression as a risk factor for the initial presentation of twelve cardiac, cerebrovascular, and peripheral arterial diseases: data linkage study of 1.9 million women and men. PloS one, 2016.

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Defining disease phenotypes in primary care electronic health records by a machine learning approach: a case study in identifying rheumatoid arthritis. PloS one, 2016.

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Assessing the impact of social policies on health in Brazil: the 100 million cohort project. 2nd UCL Workshop on the Theory of Big Data, 2016.

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Use of electronic health records to ascertain, validate and phenotype acute myocardial infarction: A systematic review and recommendations. International journal of cardiology, 2015.

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Type 2 diabetes and incidence of cardiovascular diseases: a cohort study in 1˙ 9 million people. The Lancet Diabetes & endocrinology, 2015.

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Improving metadata quality assessment in public health and epidemiology.. MIE, 2015.

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How does cardiovascular disease first present in women and men? Incidence of 12 cardiovascular diseases in a contemporary cohort of 1 937 360 people. Circulation, 2015.

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Heterogeneous associations between smoking and a wide range of initial presentations of cardiovascular disease in 1 937 360 people in England: lifetime risks and implications for risk prediction. International journal of epidemiology, 2015.

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Feasibility and impact of a computerised clinical decision support system on investigation and initial management of new onset chest pain: a mixed methods study. BMC medical informatics and decision making, 2015.

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Discussion of �combining health data uses to ignite health system learning.�. Methods Inf Med, 2015.

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Big biomedical data and cardiovascular disease research: opportunities and challenges. European Heart Journal-Quality of Care and Clinical Outcomes, 2015.

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Antipsychotic drugs and risks of myocardial infarction: a self-controlled case series study. European heart journal, 2015.

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Accuracy of Patient Self-Report of Stroke: A Systematic Review from the UK Biobank Stroke Outcomes Group. PLOS ONE, 2015.

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A Novel FrameWork for Assessing Metadata Quality in Epidemiological and Public health Research Settings. American Medical Informatics Association Summit on Clinical Research Informatics, 2015.

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Wellcome Trust: Enhancing Discoverability of Public Health and Epidemiology Research Data. Wellcome Trust, 2014.

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Socioeconomic deprivation and the incidence of 12 cardiovascular diseases in 1.9 million women and men: implications for risk prediction and prevention. PloS one, 2014.

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Prognostic models for stable coronary artery disease based on electronic health record cohort of 102 023 patients. European heart journal, 2014.

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Health outcomes in patients with stable coronary artery disease following myocardial infarction; construction of a PEGASUS-TIMI-54 like population in UK linked electronic health records. EUROPEAN HEART JOURNAL, 2014.

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Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation. PloS one, 2014.

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Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1˙ 25 million people. The Lancet, 2014.

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Association between clinical presentations before myocardial infarction and coronary mortality: a prospective population-based study using linked electronic records. European heart journal, 2014.

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Type and timing of heralding in ST-elevation and non-ST-elevation myocardial infarction: an analysis of prospectively collected electronic healthcare records linked to the national registry of acute coronary syndromes. European Heart Journal: Acute Cardiovascular Care, 2013.

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European Heart Journal: Acute Cardiovascular. European Heart Journal: Acute Cardiovascular Care, 2013.

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Emily Herrett1, Julie George2, Spiros Denaxas2, Krishnan Bhaskaran1. European Heart Journal: Acute Cardiovascular Care, 2013.

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Electronic Health Record Linkages for Translational Cardiovascular Research in Nearly 2 Million People-Clinical Disease Research Using Linked Bespoke Studies and Electronic Records (CALIBER).. AMIA, 2013.

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Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study. BMJ, 2013.

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Challenges of conducting economic evaluations using linked electronic health records-CPRD and HES in the United Kingdom. Value in Health, 2013.

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ACCURACY OF RECORDING ACUTE MYOCARDIAL INFARCTION EVENTS Authors' reply to Stevens and McManus. BMJ-BRITISH MEDICAL JOURNAL, 2013.

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Prognostic models for people with stable coronary artery disease based on 115,500 patients from the CALIBER study. EUROPEAN HEART JOURNAL, 2012.

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OP88 The Hazard of Smoking for Specific Coronary Disease Phenotypes: An Electronic Health Records Study with Linked Data in 915,000 Patients. J Epidemiol Community Health, 2012.

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Influenza infection and risk of acute myocardial infarction in England and Wales: a CALIBER self-controlled case series study. The Journal of infectious diseases, 2012.

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Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning. PLoS One, 2012.

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Engaging with the clinical data transparency initiative: a view from the National Institute for Cardiovascular Outcomes Research (NICOR). BMJ Publishing Group Ltd and British Cardiovascular Society, 2012.

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Differential Effects of Smoking on Specific Cardiovascular Presentations in Men and Women: Prospective Cohort Study in 900,000 Patients Using CALIBER Linked Electronic Health Records. Lippincott Williams & Wilkins, 2012.

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Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER). International journal of epidemiology, 2012.

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Piloting a computerized clinical decision support system in the rapid access chest pain clinic. British Journal of Cardiac Nursing, 2011.

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The Myocardial Ischaemia National Audit Project (MINAP). Heart, 2010.

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Semi-supervised feature learning from clinical text. 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2010.

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A go-driven semantic similarity measure for quantifying the biological relatedness of gene products. Intelligent Decision Technologies, 2009.

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Scoring and summarising gene product clusters using the Gene Ontology. International journal of data mining and bioinformatics, 2008.

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Building a multi-level database for efficient information retrieval: A framework definition.. IASTED Conf. on Software Engineering, 2005.

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A hybrid knowledge-driven approach to clustering gene expression data. Proc. 10th Pan Conf. on Informatics (PCI2005), 2005.

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