Scalability and cost of a cloud-based approach to medical NLP

Kyle Chard, Michael Russell, Yves A. Lussier, Eneida A. Mendonça, Jonathan C. Silverstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Natural Language Processing (NLP) in the medical field has the potential to dramatically influence the way in which everyday clinical care and medical research is conducted. NLP systems provide access to structured content embedded in raw medical texts, therefore enabling automated processing. There are however, several barriers prohibiting wide spread adoption of NLP technology primarily driven by the complexity and cost. This paper describes an approach and implementation which leverages cloud-based deployment and service-based interfaces to extract, process, synthesize, mine, compare/contrast, explore, and manage medical text data in a flexibly secure and scalable architecture. Through a virtual appliance architecture users are able to discover, deploy and utilize NLP engines on demand without requiring knowledge of the underlying, potentially complex, NLP engine. As highlighted in this paper, the system architecture can scale in several configurations: by increasing the number of instances deployed, the number of NLP engines, and the number of databases.

Original languageEnglish (US)
Title of host publicationProceedings of the 24th International Symposium on Computer-Based Medical Systems, CBMS 2011
DOIs
StatePublished - Sep 26 2011
Externally publishedYes
Event24th International Symposium on Computer-Based Medical Systems, CBMS 2011 - Bristol, United Kingdom
Duration: Jun 27 2011Jun 30 2011

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Other

Other24th International Symposium on Computer-Based Medical Systems, CBMS 2011
CountryUnited Kingdom
CityBristol
Period6/27/116/30/11

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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  • Cite this

    Chard, K., Russell, M., Lussier, Y. A., Mendonça, E. A., & Silverstein, J. C. (2011). Scalability and cost of a cloud-based approach to medical NLP. In Proceedings of the 24th International Symposium on Computer-Based Medical Systems, CBMS 2011 [5999166] (Proceedings - IEEE Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2011.5999166