Denaxas Lab
Denaxas Lab
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Classification of atherothrombotic events in myocardial infarctions survivors with supervised machine learning using data from an electronic health record system
Machine learning for phenotyping and risk prediction in cardiovascular diseases: a systematic review
Network Structures and Dynamics Of Early Dementia Events Recorded in Primary Care Electronic Health Records
Phenotyping UK Electronic Health Records from 15 Million Individuals for Precision Medicine: The CALIBER Resource
HIV as a risk factor in the initial presentation of a range of cardiovascular, coronary, cerebrovascular, and peripheral arterial diseases: a linked electronic health records study of 8 million adults in the UK
A machine learning trainable model to assess the accuracy of probabilistic record linkage
Accuracy of probabilistic record linkage applied to the Brazilian 100 million cohort project
Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus
Deriving research-quality phenotypes from national electronic health records to advance precision medicine: a UK Biobank case-study
Evaluation of Semantic Web Technologies for Storing Computable Definitions of Electronic Health Records Phenotyping Algorithms
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