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BACKGROUND: Better phenotyping of routinely collected coded data would be useful for research and health improvement. For example, the precision of coded data for hemorrhagic stroke (intracerebral hemorrhage [ICH] and subarachnoid hemorrhage [SAH]) may be as poor as 

Original publication

DOI

10.1186/s12911-021-01556-0

Type

Journal article

Journal

BMC Med Inform Decis Mak

Publication Date

15/06/2021

Volume

21

Keywords

Brain scan, Cerebral hemorrhage, Disease subtyping, Natural language processing, Stroke, Biological Specimen Banks, Cerebral Hemorrhage, Humans, Stroke, Subarachnoid Hemorrhage, United Kingdom