Phenotype Detection in Real World Data via Online MixEHR Algorithm. (arXiv:2211.07549v2 [cs.LG] UPDATED)

Understanding patterns of diagnoses, medications, procedures, and laboratory
tests from electronic health records (EHRs) and health insurer claims is
important for understanding disease risk and for efficient clinical
development, which often require rules-based curation in collaboration with
clinicians. We extended an unsupervised phenotyping algorithm, mixEHR, to an
online version allowing us to use it on order of magnitude larger datasets
including a large, US-based claims dataset and a rich regional EHR dataset. In
addition to recapitulating previously observed disease groups, …

algorithm arxiv data detection real world data