📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study. (2021)

First Author: Deng L

Attributed to: Automated Biological Event Extraction from the Literature for Drug Discovery funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.2196/26892

PubMed Identifier: 34128811

Publication URI: http://europepmc.org/abstract/MED/34128811

Type: Journal Article/Review

Volume: 23

Parent Publication: Journal of medical Internet research

Issue: 6

ISSN: 1438-8871