Lauren Argo

ORCID: 0000-0003-4514-2486
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About
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Research Areas
  • Social Media in Health Education
  • Tactile and Sensory Interactions
  • Biomedical Text Mining and Ontologies
  • Health Literacy and Information Accessibility
  • Mobile Crowdsensing and Crowdsourcing
  • Personal Information Management and User Behavior

University of Kentucky
2015

University of Utah
2015

Background: Compared to traditional methods of participant recruitment, online crowdsourcing platforms provide a fast and low-cost alternative. Amazon Mechanical Turk (MTurk) is large well-known service. It has developed into the leading platform for recruitment. Objective: To explore application health informatics research, specifically testing medical pictographs. Methods: A set pictographs created cardiovascular hospital discharge instructions was tested recognition. This illustrations...

10.2196/jmir.4582 article EN cc-by Journal of Medical Internet Research 2015-12-17

Introduction: Several studies have reported that illustrations may improve patient comprehension of health communications. However, developing effective remains a challenge. To discharge instructions with illustrations, we developed computer application (Glyph) automatically converts text to pictures using natural language processing and graphics techniques.Methods: We evaluated set pictographs created for cardiovascular through recognition testing, examined illustration approaches work...

10.1080/17538068.2016.1145877 article EN Journal of Communications In Healthcare 2015-10-02
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