2 papers
cs.LG2026
Generative clinical time series models trained on moderate amounts of patient data are privacy preserving
Rustam Zhumagambetov, Niklas Giesa, Sebastian D. Boie +1
Sharing medical data for machine learning model training purposes is often impossible due to the risk of disclosing identifying information about individual patients. Synthetic dat…
cs.LG2024
GRU-D Characterizes Age-Specific Temporal Missingness in MIMIC-IV
Niklas Giesa, Mert Akgül, Sebastian Daniel Boie +1
Temporal missingness, defined as unobserved patterns in time series, and its predictive potentials represent an emerging area in clinical machine learning. We trained a gated recur…