Search Results for author:
Found 2 papers, 1 papers with code
CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams
To address these limitations, this paper presents CARNA, a hemodynamic risk stratification and phenotyping framework for advanced HF that takes advantage of the explainability and expressivity of machine learned Multi-Valued Decision Diagrams (MVDDs).
Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
In this paper, we develop a safety assurance case for ML controllers in learning-enabled MCPS, with an emphasis on establishing confidence in the ML-based predictions.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
