Mining FDA drug labels for medical conditions.

TitleMining FDA drug labels for medical conditions.
Publication TypeJournal Article
Year of Publication2013
AuthorsLi Q, Deleger L, Lingren T, Zhai H, Kaiser M, Stoutenborough L, Jegga AG, Cohen KB, Solti I
JournalBMC medical informatics and decision making
Volume13
Pagination53
Date Published2013
Abstract

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.

DOI10.1039/c3an01929b
Alternate JournalBMC Med Inform Decis Mak