Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records

We survey advances in information extraction from the free-text of electronic medical records as related to the complex domain of oncology. Current models for correlating Electronic Medical Records with –omics data largely ignore the clinical text, which remains an important source of phenotype info...

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Bibliographic Details
Published in:Cancer Res
Main Authors: Savova, Guergana K., Danciu, Ioana, Alamudun, Folami, Miller, Timothy, Lin, Chen, Bitterman, Danielle S., Tourassi, Georgia, Warner, Jeremy L.
Format: Artigo
Language:Inglês
Published: 2019
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7227798/
https://ncbi.nlm.nih.gov/pubmed/31395609
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/0008-5472.CAN-19-0579
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