Denaxas Lab
Denaxas Lab
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Big data from electronic health records for early and late translational cardiovascular research: challenges and potential
Can primary care electronic health records facilitate the prediction of early cognitive decline associated with dementia: a systematic literature review
Discovering and Validating Disease Subtypes for Heart Failure using Unsupervised Machine Learning Methods
Emergency department attendance after telephone triage
Ethnicity and the first diagnosis of a wide range of cardiovascular diseases: Associations in a linked electronic health record cohort of 1 million patients
Evaluating openEHR for storing computable representations of electronic health record phenotyping algorithms
Evaluation of Machine Learning Methods to Predict Coronary Artery Disease Using Metabolomic Data
Flipping the odds of drug development success through human genomics
Identification and validation of myocardial infarction and stroke outcomes at scale in UK Biobank
Intellectual disability and copy number variants: mental health in the IMAGINE ID cohort
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