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Mining FDA drug labels for medical conditions.
|Title||Mining FDA drug labels for medical conditions.|
|Publication Type||Journal Article|
|Year of Publication||2013|
|Authors||Li Q, Deleger L, Lingren T, Zhai H, Kaiser M, Stoutenborough L, Jegga AG, Cohen KB, Solti I|
|Journal||BMC medical informatics and decision making|
Cincinnati Children's Hospital Medical Center (CCHMC) has built the initial Natural Language Processing (NLP) component to extract medications with their corresponding medical conditions (Indications, Contraindications, Overdosage, and Adverse Reactions) as triples of medication-related information ([(1) drug name]-[(2) medical condition]-[(3) LOINC section header]) for an intelligent database system, in order to improve patient safety and the quality of health care. The Food and Drug Administration's (FDA) drug labels are used to demonstrate the feasibility of building the triples as an intelligent database system task.
|Alternate Journal||BMC Med Inform Decis Mak|