Triangulating evidence in health sciences with Annotated Semantic Queries.

ABSTRACT:

Motivation

Integrating information from data sources representing different study designs has the potential to strengthen evidence in population health research. However, this concept of evidence "triangulation" presents a number of challenges for systematically identifying and integrating relevant information. These include the harmonization of heterogenous evidence with common semantic concepts and properties, as well as the priortization of the retrieved evidence for triangulation with the question of interest.

Results

We present Annotated Semantic Queries (ASQ), a natural language query interface to the integrated biomedical entities and epidemiological evidence in EpiGraphDB, which enables users to extract "claims" from a piece of unstructured text, and then investigate

SUBMITTER: Liu Y 

PROVIDER: S-EPMC11377847 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature