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 Citations (Scopus)

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 - IEEE Symposium on Computer-Based Medical Systems
DOIs
StatePublished - 2011
Externally publishedYes
Event24th International Symposium on Computer-Based Medical Systems, CBMS 2011 - Bristol, United Kingdom
Duration: Jun 27 2011Jun 30 2011

Other

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

Fingerprint

Natural Language Processing
Scalability
Costs and Cost Analysis
Processing
Costs
Engines
Natural language processing systems
Health Services Research
Databases
Technology

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging

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 - IEEE Symposium on Computer-Based Medical Systems [5999166] https://doi.org/10.1109/CBMS.2011.5999166

Scalability and cost of a cloud-based approach to medical NLP. / Chard, Kyle; Russell, Michael; Lussier, Yves A; Mendonça, Eneida A.; Silverstein, Jonathan C.

Proceedings - IEEE Symposium on Computer-Based Medical Systems. 2011. 5999166.

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

Chard, K, Russell, M, Lussier, YA, Mendonça, EA & Silverstein, JC 2011, Scalability and cost of a cloud-based approach to medical NLP. in Proceedings - IEEE Symposium on Computer-Based Medical Systems., 5999166, 24th International Symposium on Computer-Based Medical Systems, CBMS 2011, Bristol, United Kingdom, 6/27/11. https://doi.org/10.1109/CBMS.2011.5999166
Chard K, Russell M, Lussier YA, Mendonça EA, Silverstein JC. Scalability and cost of a cloud-based approach to medical NLP. In Proceedings - IEEE Symposium on Computer-Based Medical Systems. 2011. 5999166 https://doi.org/10.1109/CBMS.2011.5999166
Chard, Kyle ; Russell, Michael ; Lussier, Yves A ; Mendonça, Eneida A. ; Silverstein, Jonathan C. / Scalability and cost of a cloud-based approach to medical NLP. Proceedings - IEEE Symposium on Computer-Based Medical Systems. 2011.
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