Leveraging an Informatics Approach to Identify an Unmet Clinical Need for


Journal

JCO clinical cancer informatics
ISSN: 2473-4276
Titre abrégé: JCO Clin Cancer Inform
Pays: United States
ID NLM: 101708809

Informations de publication

Date de publication:
09 2022
Historique:
entrez: 1 9 2022
pubmed: 2 9 2022
medline: 9 9 2022
Statut: ppublish

Résumé

Although We developed a Natural Language Processing (NLP) pipeline to extract electronic medical record information to identify recipients of We found high uptake of We were able to successfully use a novel NLP pipeline to assess use of

Identifiants

pubmed: 36049148
doi: 10.1200/CCI.22.00034
pmc: PMC9470148
doi:

Substances chimiques

BRCA1 Protein 0
BRCA1 protein, human 0
BRCA2 Protein 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2200034

Références

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Auteurs

Rebecca A Ottesen (RA)

City of Hope, Duarte, CA.

Madeline Currey (M)

City of Hope, Duarte, CA.

Mihaela Cristea (M)

City of Hope, Duarte, CA.

Janet Nikowitz (J)

City of Hope, Duarte, CA.

Julie Kilburn (J)

City of Hope, Duarte, CA.

Lisa N Lopez (LN)

University of Texas at Austin, Austin, TX.

Sam Wing (S)

Health Economics and Outcomes Research, Intuitive Surgical, Sunnyvale, CA.

Ernesto Sosa (E)

Regal Medical Group, Northridge, CA.

Jenny Shen (J)

The State University of New York at Stony Brook, Stony Brook, NY.

Michael Morris (M)

City of Hope, Duarte, CA.

Bedros Dilsizian (B)

City of Hope, Duarte, CA.

Thomas Joseph (T)

City of Hope, Duarte, CA.

James Shen (J)

City of Hope, Duarte, CA.

Camille Adeimy (C)

City of Hope, Duarte, CA.

Tanyanika Phillips (T)

City of Hope, Duarte, CA.

Bahareh Bahadini (B)

City of Hope, Duarte, CA.

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Classifications MeSH