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| 35290719 | Incidence, morbidity, mortality and disparities in dementia: A population linked electronic health records study of 4.3 million individuals. | Alzheimers Dement | 2023 |
| 37919679 | Management and outcomes of myocardial infarction in people with impaired kidney function in England. | BMC Nephrol | 2023 |
| 38019832 | Clustering long-term health conditions among 67728 people with multimorbidity using electronic health records in Scotland. | PLoS One | 2023 |
| 37520147 | Trajectories in chronic disease accrual and mortality across the lifespan in Wales, UK (2005-2019), by area deprivation profile: linked electronic health records cohort study on 965,905 individuals. | Lancet Reg Health Eur | 2023 |
| 37794179 | A taxonomy of early diagnosis research to guide study design and funding prioritisation. | Br J Cancer | 2023 |
| 37649988 | Determining prescriptions in electronic healthcare record data: methods for development of standardized, reproducible drug codelists. | JAMIA Open | 2023 |
| 37828025 | ADRA2A and IRX1 are putative risk genes for Raynaud's phenomenon. | Nat Commun | 2023 |
| 37770476 | Genome-wide association studies and cross-population meta-analyses investigating short and long sleep duration. | Nat Commun | 2023 |
| 37536152 | Association of comorbid-socioeconomic clusters with mortality in late onset epilepsy derived through unsupervised machine learning. | Seizure | 2023 |
| 38028730 | Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network. | JAMIA Open | 2023 |
| 37393092 | Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data. | Lancet Public Health | 2023 |
| 37319288 | Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity. | PLoS One | 2023 |
| 37468884 | Healthcare use attributable to COVID-19: a propensity-matched national electronic health records cohort study of 249,390 people in Wales, UK. | BMC Med | 2023 |
| 37407076 | Hospital admissions linked to SARS-CoV-2 infection in children and adolescents: cohort study of 3.2 million first ascertained infections in England. | BMJ | 2023 |
| 37308303 | Diagnostic windows in non-neoplastic diseases: a systematic review. | Br J Gen Pract | 2023 |
| 37306981 | Independent Associations of Incident Epilepsy and Enzyme-Inducing and Non-Enzyme-Inducing Antiseizure Medications With the Development of Osteoporosis. | JAMA Neurol | 2023 |
| 37236697 | Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study. | Lancet Digit Health | 2023 |
| 37034358 | Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study. | EClinicalMedicine | 2023 |
| 37227368 | Evaluating Metformin Strategies for Cancer Prevention: A Target Trial Emulation Using Electronic Health Records. | Epidemiology | 2023 |
| 37294923 | Incidence of 12 common cardiovascular diseases and subsequent mortality risk in the general population. | Eur J Prev Cardiol | 2023 |
| 36857859 | Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals. | EBioMedicine | 2023 |
| 36647111 | Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. | BMC Med Inform Decis Mak | 2023 |
| 36460578 | Identifying and visualising multimorbidity and comorbidity patterns in patients in the English National Health Service: a population-based study. | Lancet Digit Health | 2023 |
| 36895179 | Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study. | Eur J Prev Cardiol | 2023 |
| 36658423 | The impact of the COVID-19 pandemic on cardiovascular disease prevention and management. | Nat Med | 2023 |
| 36374585 | Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study. | J R Soc Med | 2023 |
| 36385522 | Effects of the COVID-19 pandemic on secondary care for cardiovascular disease in the UK: an electronic health record analysis across three countries. | Eur Heart J Qual Care Clin Outcomes | 2023 |
| 36083213 | Translating and evaluating historic phenotyping algorithms using SNOMED CT. | J Am Med Inform Assoc | 2023 |
| 34781301 | Identification and Mapping Real-World Data Sources for Heart Failure, Acute Coronary Syndrome, and Atrial Fibrillation. | Cardiology | 2022 |
| 35653017 | Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study. | Drug Saf | 2022 |
| 35585198 | Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. | Nat Med | 2022 |
| 35584845 | Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. | BMJ | 2022 |
| 35381005 | Reproducible disease phenotyping at scale: Example of coronary artery disease in UK Biobank. | PLoS One | 2022 |
| 35351727 | Impact of chronic kidney disease on case ascertainment for hospitalised acute myocardial infarction: an English cohort study. | BMJ Open | 2022 |
| 35650572 | Adiposity and grip strength: a Mendelian randomisation study in UK Biobank. | BMC Med | 2022 |
| 35639667 | Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease. | Eur Heart J | 2022 |
| 35724769 | A retrospective cohort study predicting and validating impact of the COVID-19 pandemic in individuals with chronic kidney disease. | Kidney Int | 2022 |
| 35681241 | Elevated plasma triglyceride concentration and risk of adverse clinical outcomes in 1.5 million people: a CALIBER linked electronic health record study. | Cardiovasc Diabetol | 2022 |
| 36476601 | Neural-signature methods for structured EHR prediction. | BMC Med Inform Decis Mak | 2022 |
| 36562446 | CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research. | BMJ | 2022 |
| 36150402 | Comparing clinical trial population representativeness to real-world populations: an external validity analysis encompassing 43â¿¿895 trials and 5â¿¿685â¿¿738 individuals across 989 unique drugs and 286 conditions in England. | Lancet Healthy Longev | 2022 |
| 36208161 | CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research. | Eur Heart J | 2022 |
| 36357675 | Rare and common genetic determinants of metabolic individuality and their effects on human health. | Nat Med | 2022 |
| 36227072 | Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond. | J Am Med Inform Assoc | 2022 |
| 36121907 | Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales. | Circulation | 2022 |
| 36220323 | Association between practice coding of chronic kidney disease (CKD) in primary care and subsequent hospitalisations and death: a cohort analysis using national audit data. | BMJ Open | 2022 |
| 36186392 | Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature. | Front Psychol | 2022 |
| 36050271 | CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research. | Lancet Digit Health | 2022 |
| 35130878 | Lifetime risk of cardiovascular-renal disease in type 2 diabetes: a population-based study in 473,399 individuals. | BMC Med | 2022 |
| 35317796 | Correction to: Lifetime risk of cardiovascular-renal disease in type 2 diabetes: a population-based study in 473,399 individuals. | BMC Med | 2022 |