Generative transfer learning for measuring plausibility of EHR diagnosis records.
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.
Author(s): Estiri, Hossein, Vasey, Sebastien, Murphy, Shawn N
DOI: 10.1093/jamia/ocaa215