The Magic of Semantic Enrichment and NLP for Medical Coding
Artificial Intelligence technologies are every day more present in the medical domain. Several healthcare activities that were entirely done manually by experts in the past, now are reaching a high level of automatization thanks to a satisfactory integration between these technologies and the medical professionals. This is the case of the medical coding process, consisting on the annotation of clinical notes (free-text narrative reports) to standard medical classifications in order to align this information with the patients’ records. This paper presents a combination of NLP and semantic enrichment techniques to generate an extended Biomedical Knowledge Graph in order to be exploited in the development of our automatic medical coding solution.
KeywordsSemantic enrichment Natural Language Processing (NLP) Knowledge graphs Word embeddings Medical coding
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