title: Indexing anatomical phrases in neuro-radiology reports to the UMLS 2005AA.
abstract: This work describes a methodology to index anatomical phrases to the 2005AA release of the Unified Medical Language System (UMLS). A phrase chunking tool based on Natural Language Processing (NLP) was developed to identify semantically coherent phrases within medical reports. Using this phrase chunker, a set of 2,551 unique anatomical phrases was extracted from brain radiology reports. These phrases were mapped to the 2005AA release of the UMLS using a vector space model. Precision for the task of indexing unique phrases was 0.87.
authors.affiliation: Medical Imaging Informatics (MII) Group, University of California - Los Angles (UCLA), USA. vijay@mii.ucla.edu
authors.forename: Vijayaraghavan
authors.initials: V
authors.lastname: Bashyam
authors.forename: Ricky K
authors.initials: RK
authors.lastname: Taira
mesh_terms: D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D000715:Anatomy / Q000145:classification*; D001921:Brain / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D006801:Humans; D008499:Medical Records / Q000145:classification; D009323:Natural Language Processing; D011859:Radiography; D017432:Unified Medical Language System