Generative transfer learning for measuring plausibility of EHR diagnosis records.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Mar 1, 2021

Abstract

OBJECTIVE: Due to a complex set of processes involved with the recording of health information in the Electronic Health Records (EHRs), the truthfulness of EHR diagnosis records is questionable. We present a computational approach to estimate the probability that a single diagnosis record in the EHR reflects the true disease.

Authors

  • Hossein Estiri
    Harvard Medical School, Boston, MA, USA; Massachusetts General Hospital, Boston, MA, USA; Partners Healthcare, Somerville, MA, USA. Electronic address: hestiri@hms.harvard.edu.
  • Sebastien Vasey
    Department of Mathematics, Harvard University, Cambridge, Massachusetts, USA.
  • Shawn N Murphy

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