Original paper
Neural transfer learning for assigning diagnosis codes to EMRs
Abstract
Electronic medical records (EMRs) are manually annotated by healthcare professionals and specialized medical coders with a standardized set of alphanumeric diagnosis and procedure codes, specifically from the International Classification of Diseases (ICD). Annotating EMRs with ICD codes is important for medical billing and downstream epidemiological studies. However, manually annotating EMRs is both time-consuming and error prone. In this paper,...
Paper Details
Title
Neural transfer learning for assigning diagnosis codes to EMRs
Published Date
May 1, 2019
Volume
96
Pages
116 - 122
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