Natural Language Processing and Graph Theory: Making Sense of Imaging Records in a Novel Representation Frame.

ABSTRACT:

Background

A concise visualization framework of related reports would increase readability and improve patient management. To this end, temporal referrals to prior comparative exams are an essential connection to previous exams in written reports. Due to unstructured narrative texts' variable structure and content, their extraction is hampered by poor computer readability. Natural language processing (NLP) permits the extraction of structured information from unstructured texts automatically and can serve as an essential input for such a novel visualization framework.

Objective

This study proposes and evaluates an NLP-based algorithm capable of extracting the temporal referrals in written radiology reports, applies it to all the radiology reports generated for 10 years, intr

SUBMITTER: Binsfeld Goncalves L 

PROVIDER: S-EPMC9813822 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature