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Neural translation and automated recognition of ICD10 medical entities from natural language
[article]
2020
arXiv
pre-print
The recognition of medical entities from natural language is an ubiquitous problem in the medical field, with applications ranging from medical act coding to the analysis of electronic health data for public health. It is however a complex task usually requiring human expert intervention, thus making it expansive and time consuming. The recent advances in artificial intelligence, specifically the raise of deep learning methods, has enabled computers to make efficient decisions on a number of
arXiv:2004.13839v2
fatcat:v3ff7kwp7vdtdhsdxma66gp6qa