Estimating the prevalence of diabetic retinopathy in electronic health records with massive missing labels.

Journal: Intelligence-based medicine
Published Date: Jul 5, 2024

Abstract

OBJECTIVE: The paper aims to address the problem of massive unlabeled patients in electronic health records (EHR) who potentially have undiagnosed diabetic retinopathy (DR). It is desired to estimate the actual DR prevalence in EHR with 96 % missing labels.

Authors

  • Ye Liang
    Department of Statistics, Oklahoma State University, Stillwater, OK, USA.
  • Ru Wang
    Dell Technologies, Round Rock, TX, USA.
  • Yuchen Wang
    College of Management, University of Massachusetts Boston, Boston, MA, USA.
  • Tieming Liu
    School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA.

Keywords

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