ClustEHR: a tool for generating synthetic EHR data for unsupervised learning experiments.
International Journal of Population Data Science
Temporal sequencing in multimorbidity using population-scale linked data for 1.7 million individuals with 20-year follow-up
Identifying and evaluating clinical subtypes of Alzheimers disease in care electronic health records using unsupervised machine learning
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records
P1-554 DISCOVERING SUBTYPES OF ALZHEIMER�S DISEASE USING ELECTRONIC HEALTH RECORDS
Digital ethnicity data in population-wide electronic health records in England: a description of completeness, coverage, and granularity of diversity