A frame semantic overview of NLP-based information extraction for cancer-related EHR notes.

ABSTRACT:

Objective

There is a lot of information about cancer in Electronic Health Record (EHR) notes that can be useful for biomedical research provided natural language processing (NLP) methods are available to extract and structure this information. In this paper, we present a scoping review of existing clinical NLP literature for cancer.

Methods

We identified studies describing an NLP method to extract specific cancer-related information from EHR sources from PubMed, Google Scholar, ACL Anthology, and existing reviews. Two exclusion criteria were used in this study. We excluded articles where the extraction techniques used were too broad to be represented as frames (e.g., document classification) and also where very low-level extraction methods were used (e.g. simply identifying

SUBMITTER: Datta S 

PROVIDER: S-EPMC11771512 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature