The MoBa Pregnancy and Child Development Dashboard: A Design Study
dc.contributor.author | Ziman, Roxanne | en_US |
dc.contributor.author | Budich, Beatrice | en_US |
dc.contributor.author | Vaudel, Marc | en_US |
dc.contributor.author | Garrison, Laura | en_US |
dc.contributor.editor | Garrison, Laura | en_US |
dc.contributor.editor | Jönsson, Daniel | en_US |
dc.date.accessioned | 2024-09-17T06:07:20Z | |
dc.date.available | 2024-09-17T06:07:20Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Visual analytics dashboards enable exploration of complex medical and genetic data to uncover underlying patterns and possible relationships between conditions and outcomes. In this interdisciplinary design study, we present a characterization of the domain and expert tasks for the exploratory analysis for a rare maternal disease in the context of the longitudinal Norwegian Mother, Father, and Child (MoBa) Cohort Study. We furthermore present a novel prototype dashboard, developed through an iterative design process and using the Python-based Streamlit App [TTK18] and Vega-Altair [VGH*18] visualization library, to allow domain experts (e.g., bioinformaticians, clinicians, statisticians) to explore possible correlations between women's health during pregnancy and child development outcomes. In conclusion, we reflect on several challenges and research opportunities for not only furthering this approach, but in visualization more broadly for large, complex, and sensitive patient datasets to support clinical research. | en_US |
dc.description.sectionheaders | Health Communication and Patient Reporting | |
dc.description.seriesinformation | Eurographics Workshop on Visual Computing for Biology and Medicine | |
dc.identifier.doi | 10.2312/vcbm.20241194 | |
dc.identifier.isbn | 978-3-03868-244-8 | |
dc.identifier.issn | 2070-5786 | |
dc.identifier.pages | 5 pages | |
dc.identifier.uri | https://doi.org/10.2312/vcbm.20241194 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/vcbm20241194 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Applied computing → Life and medical sciences; Human-centered computing → Visualization design and evaluation methods; Interaction design process and methods; Interface design prototyping | |
dc.subject | Applied computing → Life and medical sciences | |
dc.subject | Human centered computing → Visualization design and evaluation methods | |
dc.subject | Interaction design process and methods | |
dc.subject | Interface design prototyping | |
dc.title | The MoBa Pregnancy and Child Development Dashboard: A Design Study | en_US |
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