Assessment of Deep Natural Language Processing in Ascertaining Oncologic Outcomes From Radiology Reports

IMPORTANCE: A rapid learning health care system for oncology will require scalable methods for extracting clinical end points from electronic health records (EHRs). Outside of clinical trials, end points such as cancer progression and response are not routinely encoded into structured data. OBJECTIV...

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Bibliographic Details
Published in:JAMA Oncol
Main Authors: Kehl, Kenneth L., Elmarakeby, Haitham, Nishino, Mizuki, Van Allen, Eliezer M., Lepisto, Eva M., Hassett, Michael J., Johnson, Bruce E., Schrag, Deborah
Format: Artigo
Language:Inglês
Published: American Medical Association 2019
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Original Investigation
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6659158/
https://ncbi.nlm.nih.gov/pubmed/31343664
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamaoncol.2019.1800
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