Area of research
Information Systems and Management · Health Information Management
Research interest
Research interests include Medicine, Computer science, Health care, Health informatics, Hazard ratio, and Cohort.
Opportunities and Challenges of Cardiovascular Disease Risk Prediction for Primary Prevention Using Machine Learning and Electronic Health Records: A Systematic Review
Machine learning based prediction models for cardiovascular disease risk using electronic health records data: systematic review and meta-analysis
Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship
Creating a next-generation phenotype library: the health data research UK Phenotype Library
ROAD2H: Development and evaluation of an open‐source explainable artificial intelligence approach for managing co‐morbidity and clinical guidelines
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis
LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION): protocol for a mixed-methods study in the UK
Differences in Clinical Presentation With Long COVID After Community and Hospital Infection and Associations With All-Cause Mortality: English Sentinel Network Database Study
What factors influence differential uptake of NHS Health Checks, diabetes and hypertension reviews among women in ethnically diverse South London? Cross-sectional analysis of 63,000 primary care records
Impact of patient access to their electronic health record: systematic review
Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study
Barriers and facilitators to the adoption of electronic clinical decision support systems: a qualitative interview study with UK general practitioners
Desiderata for the development of next-generation electronic health record phenotype libraries
A systematic review of machine learning models for predicting outcomes of stroke with structured data
A case-control and cohort study to determine the relationship between ethnic background and severe COVID-19
Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond
Collaborative design of a decision aid for stroke survivors with multimorbidity: a qualitative study in the UK engaging key stakeholders
Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse
eSource for clinical trials: Implementation and evaluation of a standards-based approach in a real world trial
Do Thiopurines Reduce the Risk of Surgery in Elderly Onset Inflammatory Bowel Disease? A 20-Year National Population-Based Cohort Study
Shaping innovations in long-term care for stroke survivors with multimorbidity through stakeholder engagement
Steroid dependency and trends in prescribing for inflammatory bowel disease – a 20‐year national population‐based study
Translational Medicine and Patient Safety in Europe: TRANSFoRm—Architecture for the Learning Health System in Europe
Impact of early thiopurines on surgery in 2770 children and young people diagnosed with inflammatory bowel disease: a national population-based study
The impact of timing and duration of thiopurine treatment on colectomy in ulcerative colitis: a national population‐based study of incident cases between 1989–2009
Obesity paradox in people newly diagnosed with type 2 diabetes with and without prior cardiovascular disease
A unified structural/terminological interoperability framework based on LexEVS: application to TRANSFoRm
Association of systolic and diastolic blood pressure and all cause mortality in people with newly diagnosed type 2 diabetes: retrospective cohort study