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Christoph Schmidt

Characterizing annotations for visual analytics on clinical data

Universität Rostock, November 12, 2024

https://doi.org/10.18453/rosdok_id00005035

Abstract: In this work, annotations are supplementary information integrated into a visual analytics system. We conduct a literature survey on existing annotations, extract the annotation characteristics, and sort them into a morphological box. We develop a model to derive suitable annotation characteristics for a particular use case and show how a fitting design for annotations is developed. We implement the annotations to analyze heterogeneous clinical data. User feedback shows that our approach can help to improve data preprocessing, data cleansing and data exploration for clinical data.

doctoral thesis   free access