no code implementations • 1 Dec 2023 • Maren Hackenberg, Michelle Pfaffenlehner, Max Behrens, Astrid Pechmann, Janbernd Kirschner, Harald Binder
In a longitudinal clinical registry, different measurement instruments might have been used for assessing individuals at different time points.
1 code implementation • 27 Nov 2023 • Maren Hackenberg, Astrid Pechmann, Clemens Kreutz, Janbernd Kirschner, Harald Binder
Neural networks are used for obtaining a low-dimensional latent space for dynamic modeling from a potentially large number of variables, and for obtaining patient-specific ODE parameters from baseline variables.
1 code implementation • 1 Dec 2020 • Maren Hackenberg, Philipp Harms, Michelle Pfaffenlehner, Astrid Pechmann, Janbernd Kirschner, Thorsten Schmidt, Harald Binder
Inspired by recent advances that allow to combine deep learning with dynamic modeling, we investigate whether such approaches can be useful for uncovering complex structure, in particular for an extreme small data setting with only two observations time points for each individual.