Identifying and evaluating clinical subtypes of Alzheimers disease in care electronic health records using unsupervised machine learning
Daniel C Alexander
BMC medical informatics and decision making
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
ClustEHR: a tool for generating synthetic EHR data for unsupervised learning experiments.
Trajectories of Disease Accumulation Using Electronic Health Records
Digital ethnicity data in population-wide electronic health records in England: a description of completeness, coverage, and granularity of diversity