Semi-supervised feature learning from clinical text
2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning
Temporal trends in heart failure medication prescription in a population-based cohort study
A semi-supervised approach for rapidly creating clinical biomarker phenotypes in the UK Biobank using different primary care EHR and clinical terminology systems.
Selective recruitment designs for improving observational studies using electronic health records
Subtypes of atrial fibrillation with concomitant valvular heart disease derived from electronic health records: phenotypes, population prevalence, trends and prognosis