Publications

Cardiovascular diseases continue to be the leading cause of mortality worldwide, claiming a significant number of lives each year. Despite the advancements in predictive models, including logistic regression, neural networks, and random forests, these techniques often lack transparency and interpretability, limiting their practical application in clinical settings. To address this challenge, this research introduces EPFHD-RARMING, an innovative approach designed to enhance the understanding and predictability of heart disease through the discovery of rare and meaningful patterns. EPFHD-RARMING utilizes rare association rule mining to [...] Full Abstract: https://www.nature.com/articles/s41598-024-69071-6#citeas

Nacaps, the National Academics Panel Study, is a new longitudinal study of doctoral candidates and doctorate holders in Germany funded by the Federal Ministry of Education and Research (BMBF). The project aims at providing nationwide cross-sectional and longitudinal data on doctoral candidates and doctorate holders in Germany regarding their study conditions as well as their career trajectories within and outside of academia. The Nacaps study series apply a panel design to multiple cohorts. Nacaps 2018 is the first cohort in this series of studies. In 2019, all doctoral candidates registered at 53 higher education institutions [...] Full Abstract: https://doi.org/10.21249/DZHW:nac2018:2.0.0

Reusing research data is an important part of research practice in the social and economic sciences. To find suitable data, researchers need functional search options. However, a comprehensive search for data is hampered by inconsistent or missing semantic indexing because different survey programs use their own terminology for documentation. In most cases, there is no link between the measured theoretical concepts and the variables. From the user's perspective, the fragmentation of data documentation hampers data retrieval and thus limits the research potential of existing data. The challenge, therefore, lies in the concept-oriented indexing of data. [...] Full Abstract: https://zenodo.org/records/11047523

"The Student Survey in Germany" (2021) is a newly designed study that integrates three previously separate student surveys (Beuße et al., 2022): the Social Survey (Middendorff et al., 2017; Middendorff & Wallis, 2023), the Student Survey (Multrus et al., 2017; Multrus, 2021) and the survey "best - Studying with impairments" (Poskowsky et al., 2018; Unger et al., 2012). The study is designed as a cross-sectional survey with a long-term character. The new, integrated student survey thus continues the long tradition of the Social Survey and the Student Survey as important cross-sectional long-term observation studies for describing and analysing higher education and the student [...] Full Abstract: https://doi.org/10.21249/DZHW:sid2021:1.0.0