TabPFN outperforms XGBoost and MLPs when learning action models from real-world pediatric ECMO observational data for decision support.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Imitation learning for clinical decision support in pediatric ECMO
TabPFN outperforms XGBoost and MLPs when learning action models from real-world pediatric ECMO observational data for decision support.