Natural Language Processing in Oncology: A Review.

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Natural language processing (NLP) has the potential to accelerate translation of cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of personalized medicine. This technology can harvest important clinical variables trapped in the free-text narratives within electronic medical records.

Related collections

Author and article information

Journal

Journal ID (iso-abbrev): JAMA Oncol

Title: JAMA oncology

Publisher: American Medical Association (AMA)

ISSN (Electronic): 2374-2445

ISSN (Print): 2374-2437

Publication date (Electronic): Jun 01 2016

Volume: 2

Issue: 6

Affiliations

[1 ] Departments of Biomedical and Health Informatics, University of Washington Medical Center, Seattle.

[2 ] Departments of Biomedical and Health Informatics, University of Washington Medical Center, Seattle2Departments of Linguistics, University of Washington Medical Center, Seattle.

[3 ] Division of Oncology, Departments of Medicine, University of Washington Medical Center, Seattle.

[4 ] Department of Radiology, University of Washington Medical Center, Seattle.

Article

Publisher Item ID: 2517402

DOI: 10.1001/jamaoncol.2016.0213

PubMed ID: 27124593

SO-VID: 3ac35dcb-5001-4c77-bdf3-d231e13c0d37

History

Data availability:

Comments

Comment on this article

scite_

Cited by 83

See all cited by

- Version 1