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Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions.
Jean Feng
Alexej Gossmann
Gene Pennello
Nicholas Petrick
Berkman Sahiner
Romain Pirracchio
Published in:
CoRR (2022)
Keyphrases
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machine learning
learning algorithm
prediction algorithm
maximum likelihood
prediction accuracy
theoretical analysis
data sets
machine learning algorithms
computationally efficient
decision support system
worst case
semi supervised learning
computational cost
artificial neural networks
data analysis
genetic algorithm
benchmark datasets
real time