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BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining
[article]
2020
arXiv
pre-print
Clinical interactions are initially recorded and documented in free text medical notes. ICD coding is the task of classifying and coding all diagnoses, symptoms and procedures associated with a patient's visit. The process is often manual and extremely time-consuming and expensive for hospitals. In this paper, we propose a machine learning model, BERT-XML, for large scale automated ICD coding from EHR notes, utilizing recently developed unsupervised pretraining that have achieved state of the
arXiv:2006.03685v1
fatcat:c3plcv7lvzcrbdv2awfry7isei