Show simple item record Finlayson, Samuel G. LePendu, Paea Shah, Nigam H.
dc.coverage.spatial California 2014-09-11T13:00:37Z 2014-09-11T13:00:37Z 2014-09-16
dc.identifier doi:10.5061/dryad.jp917
dc.identifier.citation Finlayson SG, LePendu P, Shah NH (2014) Building the graph of medicine from millions of clinical narratives. Scientific Data 1: 140032.
dc.description Electronic health records (EHR) represent a rich and relatively untapped resource for characterizing the true nature of clinical practice and for quantifying the degree of inter-relatedness of medical entities such as drugs, diseases, procedures and devices. We provide a unique set of co-occurrence matrices, quantifying the pairwise mentions of 3 million terms mapped onto 1 million clinical concepts, calculated from the raw text of 20 million clinical notes spanning 19 years of data. Co-frequencies were computed by means of a parallelized annotation, hashing, and counting pipeline that was applied over clinical notes from Stanford Hospitals and Clinics. The co-occurrence matrix quantifies the relatedness among medical concepts which can serve as the basis for many statistical tests, and can be used to directly compute Bayesian conditional probabilities, association rules, as well as a range of test statistics such as relative risks and odds ratios. This dataset can be leveraged to quantitatively assess comorbidity, drug-drug, and drug-disease patterns for a range of clinical, epidemiological, and financial applications.
dc.relation.haspart doi:10.5061/dryad.jp917/5
dc.relation.haspart doi:10.5061/dryad.jp917/6
dc.relation.haspart doi:10.5061/dryad.jp917/7
dc.relation.haspart doi:10.5061/dryad.jp917/8
dc.relation.isreferencedby doi:10.1038/sdata.2014.32
dc.relation.isreferencedby PMID:25977789
dc.subject electronic health records
dc.subject biomedical informatics
dc.subject data mining
dc.subject natural language processing
dc.title Data from: Building the graph of medicine from millions of clinical narratives
dc.type Article
prism.publicationName Scientific Data
dryad.dansTransferDate 2018-04-19T00:31:03.328+0000
dryad.dansArchiveDate 2018-04-23T13:05:59.218+0000
dryad.dashTransferDate 2019-06-22T12:49:25.450+0000
dryad.dashStoredDate 2019-07-12T04:29:09.162+0000

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