Cargando…
A Visual Analytic Tool (VIADS) to Assist the Hypothesis Generation Process in Clinical Research: Mixed Methods Usability Study
BACKGROUND: Visualization can be a powerful tool to comprehend data sets, especially when they can be represented via hierarchical structures. Enhanced comprehension can facilitate the development of scientific hypotheses. However, the inclusion of excessive data can make visualizations overwhelming...
Autores principales: | Jing, Xia, Patel, Vimla L, Cimino, James J, Shubrook, Jay H, Zhou, Yuchun, Draghi, Brooke N, Ernst, Mytchell A, Liu, Chang, De Lacalle, Sonsoles |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176142/ https://www.ncbi.nlm.nih.gov/pubmed/37011112 http://dx.doi.org/10.2196/44644 |
Ejemplares similares
-
Data-driven hypothesis generation among inexperienced clinical researchers: A comparison of secondary data analyses with visualization (VIADS) and other tools
por: Jing, Xia, et al.
Publicado: (2023) -
A visual interactive analytic tool for filtering and summarizing large health data sets coded with hierarchical terminologies (VIADS)
por: Jing, Xia, et al.
Publicado: (2019) -
How do clinical researchers generate data-driven scientific hypotheses? Cognitive events using think-aloud protocol
por: Jing, Xia, et al.
Publicado: (2023) -
The Roles of a Secondary Data Analytics Tool and Experience in Scientific Hypothesis Generation in Clinical Research: Protocol for a Mixed Methods Study
por: Jing, Xia, et al.
Publicado: (2022) -
Development, validation, and usage of metrics to evaluate the quality of clinical research hypotheses
por: Jing, Xia, et al.
Publicado: (2023)