Natural language processing

Jake Vasilakes, Sicheng Zhou, Rui Zhang

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Scopus citations

Abstract

Natural language processing (NLP) is a subfield of artificial intelligence that is concerned with the automatic understanding of human language by computers. NLP has seen much success in recent years due to increased computing power and the rise of deep learning, and this success has extended into the domains of biomedical and clinical text. NLP has contributed to tasks such as the discovery of drug interactions, the development of clinical decision support systems, and the facilitation of chart review. Part I of this chapter provides an introduction to NLP, some common tasks in the biomedical domain, and the methods for accomplishing these tasks. Part II gives a survey of recent applications of NLP in cardiovascular medicine.

Original languageEnglish (US)
Title of host publicationMachine Learning in Cardiovascular Medicine
PublisherElsevier
Pages123-148
Number of pages26
ISBN (Electronic)9780128202739
DOIs
StatePublished - Jan 1 2020

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Inc. All rights reserved.

Keywords

  • Artificial intelligence
  • Biomedical informatics
  • Clinical informatics
  • Information extraction
  • Machine learning
  • Natural language processing

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