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A Comparison of Deep Learning Methods for ICD Coding of Clinical Records
2020
Applied Sciences
In this survey, we discuss the task of automatically classifying medical documents into the taxonomy of the International Classification of Diseases (ICD), by the use of deep neural networks. The literature in this domain covers different techniques. We will assess and compare the performance of those techniques in various settings and investigate which combination leverages the best results. Furthermore, we introduce an hierarchical component that exploits the knowledge of the ICD taxonomy.
doi:10.3390/app10155262
fatcat:oonzdpnitfdrzbuoh6fgwhrkma