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Monitoring machine learning (ML)-based risk prediction algorithms in the
  presence of confounding medical interventions
v1v2 (latest)

Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions

17 November 2022
Jean Feng
Alexej Gossmann
Gene Pennello
N. Petrick
B. Sahiner
Romain Pirracchio
ArXiv (abs)PDFHTML

Papers citing "Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions"

2 / 2 papers shown
Title
Designing monitoring strategies for deployed machine learning
  algorithms: navigating performativity through a causal lens
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
Jean Feng
Adarsh Subbaswamy
Alexej Gossmann
Harvineet Singh
B. Sahiner
Mi-Ok Kim
Gene Pennello
N. Petrick
Romain Pirracchio
Fan Xia
229
5
0
20 Nov 2023
Is this model reliable for everyone? Testing for strong calibration
Is this model reliable for everyone? Testing for strong calibrationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jean Feng
Alexej Gossmann
Romain Pirracchio
N. Petrick
Gene Pennello
B. Sahiner
187
6
0
28 Jul 2023
1