Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons.

Natalie Baughan Heather M Whitney Kenny H ChaBerkman SahinerTingting HuGrace Hyun KimMichael F McNitt-Gray Kyle J Myers Maryellen L Giger

Published in: Journal of medical imaging (Bellingham, Wash.) (2023)

The developed multi-dimensional stratified sampling algorithm can partition a large dataset while maintaining balance across several variables, superior to the balance achieved from naïve randomization.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
high resolution
prognostic factors
deep learning
electronic health record
big data
artificial intelligence