Large-Scale Biomedical Relation Extraction Across Diverse Relation Types: Model Development and Usability Study on COVID-19.

ABSTRACT:

Background

Biomedical relation extraction (RE) is of great importance for researchers to conduct systematic biomedical studies. It not only helps knowledge mining, such as knowledge graphs and novel knowledge discovery, but also promotes translational applications, such as clinical diagnosis, decision-making, and precision medicine. However, the relations between biomedical entities are complex and diverse, and comprehensive biomedical RE is not yet well established.

Objective

We aimed to investigate and improve large-scale RE with diverse relation types and conduct usability studies with application scenarios to optimize biomedical text mining.

Methods

Data sets containing 125 relation types with different entity semantic levels were constructed to evaluate the impac

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC10551783 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature