Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0010200 (cough)
23,843 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A general problem in biosurveillance is finding appropriate aggregates of elemental data to monitor for the detection of disease outbreaks. We developed an unsupervised clustering algorithm for aggregating over-the-counter healthcare (OTC) products into categories. This algorithm employs MCMC over hundreds of parameters in a Bayesian model to place products into clusters. Despite the high dimensionality, it still performs fast on hundreds of time series. The procedure was able to uncover a clinically significant distinction between OTC products intended for the treatment of allergy and OTC products intended for the treatment of cough, cold, and influenza symptoms.
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PMID:Unsupervised clustering of over-the-counter healthcare products into product categories. 1750 42