@Book{1946232998,
author="Schmidt, Christoph",
title="Characterizing annotations for visual analytics on clinical data",
year="2024",
address="Rostock",
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.<eng>",
school="Universit{\"a}t Rostock",
note="vorgelegt von Christoph Schmidt",
note="GutachterInnen: Stefan Bruckner (Universit{\"a}t Rostock) ; Lars Linsen (Universit{\"a}t M{\"u}nster) ; Paul Rosenthal (Universit{\"a}t Rostock)",
note="Dissertation Universit{\"a}t Rostock 2024",
doi="10.18453/rosdok_id00005035",
url="https://purl.uni-rostock.de/rosdok/id00005035",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00005035-3",
url="https://d-nb.info/1385075244/34",
url="https://doi.org/10.18453/rosdok_id00005035",
language="English"
}