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Rosacea patients are at higher risk for obstructive sleep apnea: Automated retrospective research

  • SUNY Buffalo
  • Department of Veterans Affairs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Using big data science we employ NLP and a novel interface the BMI Investigator to answer clinically meaninful questions. The use case presented is the association between Rosacea and Obstructive Sleep Apnea.

Original languageEnglish
Title of host publicationDigital Personalized Health and Medicine - Proceedings of MIE 2020
EditorsLouise B. Pape-Haugaard, Christian Lovis, Inge Cort Madsen, Patrick Weber, Per Hostrup Nielsen, Philip Scott
PublisherIOS Press
Pages1381-1382
Number of pages2
ISBN (Electronic)9781643680828
DOIs
StatePublished - Jun 16 2020
Event30th Medical Informatics Europe Conference, MIE 2020 - Geneva, Switzerland
Duration: Apr 28 2020May 1 2020

Publication series

NameStudies in Health Technology and Informatics
Volume270

Conference

Conference30th Medical Informatics Europe Conference, MIE 2020
Country/TerritorySwitzerland
CityGeneva
Period04/28/2005/1/20

Keywords

  • Big data science
  • Information Retreival
  • NLP
  • Obstructive Sleep Apnea
  • Rosacea

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