Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding
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DOI: 10.1093/jamia/ocac230
Abstract: OBJECTIVES To develop an unbiased objective for learning automatic coding algorithms from clinical records annotated with only partial relevant International Classification of Diseases codes, as annotation noise in undercoded clinical records used as training data… read more here.
Keywords: undercoded clinical; clinical records; international classification; classification diseases ... See more keywords