TY  - BOOK
AU  - Schmidt, Christoph
PY  - 2024
DA  - 2024//
TI  - Characterizing annotations for visual analytics on clinical data
PB  - Universität Rostock
CY  - Rostock
AB  - 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.<eng>
UR  - https://purl.uni-rostock.de/rosdok/id00005035
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005035-3
UR  - https://d-nb.info/1385075244/34
UR  - https://doi.org/10.18453/rosdok_id00005035
DO  - 10.18453/rosdok_id00005035
LA  - English
N1  - vorgelegt von Christoph Schmidt
ID  - 1946232998
ER  -