Extracting templates from radiology reports using sequence alignment. (14th November 2012)

• Record Type: Journal Article
• Authors: Wu, Shengyang; Langlotz, Curtis P.; Lakhani, Paras; Ungar, Lyle H.
• Is Part Of: International journal of data mining and bioinformatics. Volume 6:Number 6(2012)
• Page Start: 633
• Page End: 650
• Publication Date: 2012-11-14
• Subjects: medical informatics -- radiology -- sequence alignment -- text mining -- report generation -- Feng-Doolittle; Data mining -- Periodicals; Bioinformatics -- Periodicals; 006.312
• Languages: English
• ISSNs: 1748-5673

Abstract

Health care providers often dictate their reports by filling in slots in templates. These slots can be filled with a variety of different procedures, measurements, or findings. Many radiologists currently create their own personalised templates, costing time and leading to inconsistencies across physicians. We present a sequence alignment method Radiology Content Alignment (RADICAL) that uses dynamic programming to efficiently extract templates that are common across sets of reports, and give examples of the extracted templates and the contents of their slots.