4 papers
Large language models as synthetic clinical experts to inform longitudinal rare-disease modeling
Clemens Schächter, Astrid Pechmann, Janbernd Kirschner +2
Due to the limited amount of information, modeling longitudinal rare-disease data can benefit from integrating clinical knowledge. Yet, elicitation of expert knowledge and formaliz…
Using latent representations to link disjoint longitudinal data for mixed-effects regression
Clemens Schächter, Maren Hackenberg, Michelle Pfaffenlehner +6
Many rare diseases offer limited established treatment options, leading patients to switch therapies when new medications emerge. To analyze the impact of such treatment switches w…
Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry
Maren Hackenberg, Michelle Pfaffenlehner, Max Behrens +3
In a longitudinal clinical registry, different measurement instruments might have been used for assessing individuals at different time points. To combine them, we investigate deep…
A statistical approach to latent dynamic modeling with differential equations
Maren Hackenberg, Astrid Pechmann, Clemens Kreutz +2
Ordinary differential equations (ODEs) can provide mechanistic models of temporally local changes of processes, where parameters are often informed by external knowledge. While ODE…