Abstract Archives of the RSNA, 2014
RCB35
Hands-on Natural Language Processing: Extracting Value from Imaging Reports (Hands-on)
Refresher/Informatics
—
Informatics,
Presented on December 2, 2014
Scott Leroy Duvall PhD, Presenter: Research Grant, Amgen Inc
Research Grant, Anolinx LLC
Research Grant, AstraZeneca PLC
Research Grant, F. Hoffmann-La Roche Ltd
Research Grant, Merck & Co, Inc
Research Grant, Mylan Inc
Research Grant, PAREXEL International Corporation
Research Grant, Shire plc
Daniel L. Rubin MD, MS, Presenter: Nothing to Disclose
1) Describe the workflow of natural language processing, including manual annotation, training, and evaluation.
2) Explain the role that natural language processing can play in imaging practice and research.
3) Describe different approaches for processing imaging report text.
4) Identify the functions of RadLex and other ontologies in natural language processing.
5) Explore ways that natural language processing could be used to address their current organizational needs.
6) Practice creating manual annotations on imaging reports and discussion challenges and solutions for reliable, efficient annotating.
7) Learn some available open-source tools that can be used for natural language processing and annotation.
Natural language processing (NLP) is key to unlocking the vast amount of information in imaging reports that is either typed directly by the clinicians or transcribed from speech recognition. Recent advances in available tools and a shift in mindset towards the development of NLP systems as pipelines of distinct, interchangeable modules have made many common NLP tasks within the reach of all researchers and clinicians. This workshop will provide attendees with a hands-on introduction to NLP and to some current research in which it is used on imaging reports. Participants will be guided through an overview of NLP, some of the current challenges of working with imaging text, and the strengths and weaknesses of different NLP approaches. Manual annotation – used to support NLP – will be introduced and participants will be guided through tools to create annotations. The role of RadLex and other ontologies will be discussed and tools for mapping to these standards will be demonstrated. Participants of the workshop will gain an understanding of how NLP could be used in their organizations to address specific clinical questions and experience with tools to perform simple NLP tasks.
http://media.rsna.org/media/abstract/2014/14002674/RCB35 sec.pdf
Duvall, S,
Rubin, D,
Hands-on Natural Language Processing: Extracting Value from Imaging Reports (Hands-on). Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14002674.html