Open AccessAutomated NLP Extraction of Clinical Rationale for Treatment Discontinuation in Breast Cancer
Author(s) -
Matthew Alkaitis,
Monica Agrawal,
Gregory J. Riely,
Pedram Razavi,
David Sontag
Publication year - 2021
Publication title -
jco clinical cancer informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.188
H-Index - 12
ISSN - 2473-4276
DOI - 10.1200/cci.20.00139
Subject(s) - discontinuation , medicine , cohort , receiver operating characteristic , logistic regression , incidence (geometry) , stage (stratigraphy) , oncology , cancer , retrospective cohort study , breast cancer , artificial intelligence , machine learning , computer science , paleontology , physics , optics , biology
Key oncology end points are not routinely encoded into electronic medical records (EMRs). We assessed whether natural language processing (NLP) can abstract treatment discontinuation rationale from unstructured EMR notes to estimate toxicity incidence and progression-free survival (PFS).