Using semantic web technologies for quality measure phenotyping algorithm representation and automatic execution on EHR data

Feichen Shen, Dingcheng Li, Hongfang D Liu, Yugyung Lee, Jyotishman Pathak, Christopher G. Chute, Cui Tao

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

Abstract

In this paper, we introduce our efforts on an application of semantic web technologies to phenotyping algorithms in Electronic Health Records (EHR) data for the purpose of facilitating the reasoning and inferring processes of some patients groups in an intelligent manner.

Original languageEnglish (US)
Title of host publication2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
PublisherIEEE Computer Society
Pages531-534
Number of pages4
ISBN (Print)9781479921317
DOIs
StatePublished - 2014
Event2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 - Valencia, Spain
Duration: Jun 1 2014Jun 4 2014

Other

Other2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
CountrySpain
CityValencia
Period6/1/146/4/14

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ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Shen, F., Li, D., Liu, H. D., Lee, Y., Pathak, J., Chute, C. G., & Tao, C. (2014). Using semantic web technologies for quality measure phenotyping algorithm representation and automatic execution on EHR data. In 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 (pp. 531-534). [6864419] IEEE Computer Society. https://doi.org/10.1109/BHI.2014.6864419