BIP! Finder - Development and Use of Natural Language Processing for Identification of Distant Cancer Recurrence and Sites of Distant Recurrence Using Unstructured Electronic Health Record Data

2021 • Development and Use of Natural Language Processing for Identification of Distant Cancer Recurrence and Sites of Distant Recurrence Using Unstructured Electronic Health Record Data

Authors: Yasmin H. Karimi; Douglas W. Blayney; Allison W. Kurian; Jeanne Shen; Rikiya Yamashita; Daniel Rubin; Imon Banerjee

Venue: JCO Clinical Cancer Informatics

Type: Publication

Abstract: PURPOSE Large-scale analysis of real-world evidence is often limited to structured data fields that do not contain reliable information on recurrence status and disease sites. In this report, we describe a natural language processing (NLP) framework that uses data from free-text, unstructured reports to classify recurrence status and sites of recurrence for patients with breast and hepatocellular carcinomas (HCC). METHODS Using two cohorts of breast cancer and HCC cases, we validated the ability of a previously developed NLP model to distinguis... (read more)

Impact:

1.30972335E-8 3.3016438E-9 11 11

/ Attention: 0 29

Topics: Artificial intelligence Natural language processing Internal medicine

DOI: 10.1200/cci.20.00165

External links: Crossref OpenAIRE

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