Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations

Kevin Wu, Dominik Dahlem, Christopher Hane, Eran Halperin, James Zou 0001. Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations. In Bobak J. Mortazavi, Tasmie Sarker, Andrew Beam, Joyce C. Ho, editors, Conference on Health, Inference, and Learning, CHIL 2023, Broad Institute of MIT and Harvard (Merkin Building), 415 Main Street, Cambridge, MA, USA. Volume 209 of Proceedings of Machine Learning Research, pages 229-242, PMLR, 2023. [doi]

Abstract

Abstract is missing.