Literature DB >> 31167249

Ontology-Based Interactive Visualization of Patient-Generated Research Questions.

David Borland1, Laura Christopherson1, Charles Schmitt2.   

Abstract

BACKGROUND: Crohn's disease and colitis are chronic conditions that affect every facet of patients' lives (e.g., social interaction, family, work, diet, and sleep). Thus, treatment consists largely of disease management. The University of North Carolina at Chapel Hill chapter of the Crohn's and Colitis Foundation-IBD Partners-has created an interactive website that, in addition to providing helpful information and disease management tools, provides a discussion forum for patients to talk about their experiences and suggest new lines of research into Crohn's disease and colitis.
OBJECTIVES: The primary objective of this work is to enable researchers to more effectively browse the forum content. Researchers wish to identify important/popular patient-suggested research topics, appreciate the full breadth of the research topics, and see connections between them, in order to more effectively prioritize research agendas.
METHODS: To help structure the forum content we have developed an ontology describing the major themes in the discussion forum. We have also created a prototype interactive visualization tool that leverages the ontology to help researchers identify common themes and related patient-generated research topics via linked views of (1) the ontology, (2) a research topic overview clustered by relevant ontology terms, and (3) a detailed view of the discussion forum content.
RESULTS: We discuss visualizations and interactions enabled by the visualization tool, provide an example scenario using the tool, and discuss limitations and future work based on feedback from potential users.
CONCLUSION: The integration of a user-community specific ontology with an interactive visualization tool is a promising approach for enabling researchers to more effectively study user-generated research questions. Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2019        PMID: 31167249      PMCID: PMC6551210          DOI: 10.1055/s-0039-1688938

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  19 in total

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Review 10.  The Human Phenotype Ontology in 2017.

Authors:  Sebastian Köhler; Nicole A Vasilevsky; Mark Engelstad; Erin Foster; Julie McMurry; Ségolène Aymé; Gareth Baynam; Susan M Bello; Cornelius F Boerkoel; Kym M Boycott; Michael Brudno; Orion J Buske; Patrick F Chinnery; Valentina Cipriani; Laureen E Connell; Hugh J S Dawkins; Laura E DeMare; Andrew D Devereau; Bert B A de Vries; Helen V Firth; Kathleen Freson; Daniel Greene; Ada Hamosh; Ingo Helbig; Courtney Hum; Johanna A Jähn; Roger James; Roland Krause; Stanley J F Laulederkind; Hanns Lochmüller; Gholson J Lyon; Soichi Ogishima; Annie Olry; Willem H Ouwehand; Nikolas Pontikos; Ana Rath; Franz Schaefer; Richard H Scott; Michael Segal; Panagiotis I Sergouniotis; Richard Sever; Cynthia L Smith; Volker Straub; Rachel Thompson; Catherine Turner; Ernest Turro; Marijcke W M Veltman; Tom Vulliamy; Jing Yu; Julie von Ziegenweidt; Andreas Zankl; Stephan Züchner; Tomasz Zemojtel; Julius O B Jacobsen; Tudor Groza; Damian Smedley; Christopher J Mungall; Melissa Haendel; Peter N Robinson
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

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