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The Magic of Semantic Enrichment and NLP for Medical Coding

  • Nuria García-SantaEmail author
  • Beatriz San Miguel
  • Takanori Ugai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11762)

Abstract

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.

Keywords

Semantic enrichment Natural Language Processing (NLP) Knowledge graphs Word embeddings Medical coding 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Nuria García-Santa
    • 1
    Email author
  • Beatriz San Miguel
    • 1
  • Takanori Ugai
    • 2
  1. 1.Fujitsu Laboratories of EuropePozuelo de Alarcón, MadridSpain
  2. 2.Fujitsu Laboratories Ltd.KawasakiJapan

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